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See how 146 models, 855 papers, 383 datasets, 622 authors and 63 organizations connect through 25 signals. Filter by signal, task or year, click any node to see its links, and copy the link to share a view.
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Models 146
- SensorFM (Google) · paper: SensorFM: Toward a General Intelligence and Interface for Wearable Health Data · PPG, IMU, EDA, Temp, Barometer
- PaPaGei-S · paper: PulseLM: A Foundation Dataset and Benchmark for PPG-Text Learning, PPG-Bench: A Unified Benchmark for PPG Foundation Models and 11 more · uses PPG-DaLiA, WESAD, VitalDB, MESA Sleep, PulseDB v2.0, PPG-BP Database (Guilin / Liang 2018) and 3 more · PPG
- OpenTSLM · paper: SensorLM: Learning the Language of Wearable Sensors, TimeCap: A Scalable Open-Source Pipeline for Captioning Wearable Health Time-Series Data and 2 more · IMU, ECG, EEG, Text
- AnyPPG · paper: PPG-Bench: A Unified Benchmark for PPG Foundation Models, Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis and 5 more · uses PPG-DaLiA, WESAD, MESA Sleep, PulseDB v2.0, Stanford wrist PPG AF (DeepBeat), Brno University of Technology Smartphone PPG Database (BUT PPG) and 6 more · PPG, ECG
- SensorLM · paper: SensorLM: Learning the Language of Wearable Sensors, Insulin Resistance Prediction from Wearables and Routine Blood Biomarkers · PPG, IMU, Temp, SpO₂, HR
- Google LSM-2 / AIM · paper: LSM-2: Learning from Incomplete Wearable Sensor Data · PPG, IMU, EDA, Temp, Barometer
- SleepFM-2 · paper: Learning transferable human physiology from two million hours of sleep with SleepFM-2, SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals · PPG, IMU, ECG, EEG, Resp, EOG, EMG
- Pulse-PPG · paper: PPG-Bench: A Unified Benchmark for PPG Foundation Models, Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis and 9 more · uses PPG-DaLiA, WESAD, PPG-BP Database (Guilin / Liang 2018), MOODS · PPG
- TEX-MEX · paper: PPG-Bench: A Unified Benchmark for PPG Foundation Models, Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis and 9 more · uses WESAD, PPG-DaLiA, UCI Human Activity Recognition Using Smartphones (UCI-HAR), PPG-BP Database (Guilin / Liang 2018), Sleep-EDF Database Expanded (PhysioNet), SDB and 1 more · PPG
- CardioState-JEPA · paper: PPG-Bench: A Unified Benchmark for PPG Foundation Models, Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis and 5 more · uses PPG-DaLiA, WildPPG · PPG, ECG, PCG
- PulseLM · paper: PulseLM: A Foundation Dataset and Benchmark for PPG-Text Learning · uses WESAD, PPG-DaLiA, VitalDB, BIDMC PPG and Respiration (Pimentel 2016 / PhysioNet), WildPPG, MIMIC PERform and 6 more · PPG, Text
- Google LSM · paper: Scaling Wearable Foundation Models (LSM) · IMU, Temp, HR
- xMAE · paper: xMAE: Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning · uses Samsung AFib/PVC study, Samsung Galaxy Watch PPG pretraining corpus (~32K users, ~17M 10-s segments; private), Samsung BP lab study, Samsung BP free-living study · PPG, ECG
- Wearable Foundation Model (WFM / WEAR; Ramamoorthy) · uses PPG-DaLiA, WESAD, PAMAP2, CAPTURE-24, DREAMT, NHANES 2011-2012 Physical Activity Monitor - Raw Data 80hz (PAX80_G) and 8 more · PPG, IMU, EDA, Temp, HR, Text, HRV
- NormWear-2 · paper: Toward World Modeling of Physiological Signals with Chaos-Theoretic Balancing and Latent Dynamics, NormWear: Toward Foundation Model for Multivariate Wearable Sensing of Physiological Signals and 1 more · uses WESAD, VitalDB, CGMacros: dual-CGM + Fitbit + meal macronutrients/photos in healthy, pre-diabetes and T2D adults (PhysioNet), PMData: 5-month sports + lifelogging set, Fitbit Versa 2 + PMSys (16 participants, Simula) · PPG, IMU, ECG, EEG, Resp, Temp, HR, BP, Glucose
- CogAdapt · paper: CogAdapt: Adapting Clinical ECG Foundation Models for Wearable Cognitive Load Assessment, ECG-FM: An Open Electrocardiogram Foundation Model · uses PTB-XL, MIMIC-IV-ECG · ECG
- FITTER · paper: A Guideline-Grounded Multi-Agent Framework for Personalized Exercise Prescription from Clinical and Wearable Data (FITTER; arXiv 2611.03983) · HR, Text, Activity, EHR
- MSMA-PPG · paper: PPG-Bench: A Unified Benchmark for PPG Foundation Models, Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis and 4 more · uses PPG-DaLiA, WildPPG, EarSet · PPG, IMU
- CSFM (Cardiac Signal FM) · paper: CSFM: Cardiac Signal Foundation Model · PPG, ECG
- GlucoFM · paper: GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring · Glucose
- HiPPT · paper: PPG-Bench: A Unified Benchmark for PPG Foundation Models, Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis and 5 more · uses PPG-DaLiA · PPG, Text
- NextHAR · paper: Next Token Prediction for Generalizable Human Activity Recognition (NextHAR; CIKM 2026) · uses PAMAP2, HHAR, Daily and Sports Activities, USC-HAD, MotionSense, Shoaib Sensors 2014 and 3 more · IMU
- ECG-FM · paper: Foundation Model Artificial Intelligence for Electrocardiogram Detection of Rheumatic Mitral Stenosis, ECG-FM: An Open Electrocardiogram Foundation Model · ECG
- HALO · paper: HALO: A Heterogeneity-Aware Language-Aligned IMU Foundation Model for Open-Set Human Activity Recognition · uses PAMAP2, WISDM AR v1.1, UCI Human Activity Recognition Using Smartphones (UCI-HAR), RealWorld HAR, OPPORTUNITY, Daily and Sports Activities and 7 more · IMU
- AnyMo · paper: AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild · uses PAMAP2, WISDM AR v1.1, UCI Human Activity Recognition Using Smartphones (UCI-HAR), RealWorld HAR, OPPORTUNITY, Daily and Sports Activities and 6 more · IMU
- CardioFM · paper: CardioFM: A Multimodal Foundation Model for Joint ECG and PPG Representation Learning · uses PTB-XL · PPG, ECG
- DNA-PPG · paper: DNA-PPG: A Foundation Model for Photoplethysmography via Dual Neighborhood Alignment · uses PPG-DaLiA, WESAD, VitalDB, MESA Sleep · PPG
- ECGFounder · paper: ECGFounder: An ECG Foundation Model Built on 10+ Million Recordings · uses PTB-XL, CODE-test: annotated 12-lead ECG test set (Ribeiro 2020, Zenodo), Harvard-Emory ECG Database (HEEDB v5.0) · ECG
- GPT-PPG · paper: Position: Beyond Prediction: Toward Verifiable Physiological Waveform Reasoning with Foundation Models and Agentic LLMs, PPG-Distill: Efficient Photoplethysmography Signals Analysis via Foundation Model Distillation and 3 more · uses WESAD, PPG-DaLiA, PulseDB v2.0, BIDMC PPG and Respiration (Pimentel 2016 / PhysioNet), Stanford wrist PPG AF (DeepBeat), IEEE Signal Processing Cup 2015 (TROIKA) and 1 more · PPG
- NormWear · paper: Toward World Modeling of Physiological Signals with Chaos-Theoretic Balancing and Latent Dynamics, NormWear: Toward Foundation Model for Multivariate Wearable Sensing of Physiological Signals and 1 more · uses WESAD, UCI Human Activity Recognition Using Smartphones (UCI-HAR) · PPG, IMU, ECG, EEG, EDA
- OpenSLA · paper: Sensor-Language-Action Models (OpenSLA) · uses VitalDB, MIMIC-IV Waveform Database (PhysioNet preview) · PPG, ECG, EEG, Resp, BP, Text, Glucose, EHR
- VitalAgent · paper: VitalAgent: A Tool-Augmented Agent for Reactive and Proactive Physiological Monitoring over Wearable Health Data · uses PPG-DaLiA, WESAD, Long-term ECG and wrist PPG with annotated AF episodes (AFPPGECG), Icentia11k single-lead continuous raw ECG (PhysioNet) · PPG, ECG, Text
- LPSGM (Large PSG Model; flexible-channel EEG/EOG/EMG sleep staging + clinical screening; ZJU / Hangzhou Seventh People's Hospital) · uses MESA Sleep, Sleep Heart Health Study (SHHS, NSRR), MrOS Sleep Study (Osteoporotic Fractures in Men, NSRR), Cleveland Family Study (CFS), CHAT (Childhood Adenotonsillectomy Trial, NSRR): paediatric OSA PSG at baseline and 7-month follow-up, ABC (Apnea, Bariatric surgery, and CPAP study, NSRR): PSG in 49 adults with class II obesity and severe OSA and 4 more · EEG, EOG, EMG
- RelCon · paper: RelCon: Relative Contrastive Learning for a Motion Foundation Model, RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data · IMU
- SleepLM · paper: SleepLM: Natural-Language Intelligence for Human Sleep · EEG, Resp, SpO₂, Text, EOG, EMG
- SleepMaMi (SNU; macro+micro PSG sleep foundation model, ICML 2026) · paper: SleepMaMi: A Universal Sleep Foundation Model for Integrating Macro- and Micro-structures · uses MESA Sleep, Sleep Heart Health Study (SHHS, NSRR), MrOS Sleep Study (Osteoporotic Fractures in Men, NSRR), Cleveland Family Study (CFS), PhysioNet/CinC Challenge 2018: arousal detection from overnight PSG (MGH sleep lab, 1,985 subjects), Study of Osteoporotic Fractures sleep visit (SOF, NSRR): in-home PSG in 461 women aged 65+ (2002-2003) · ECG, EEG, Resp, SpO₂, EOG, EMG
- AnySleep (FH Aachen; channel-agnostic EEG/EOG sleep stager, npj Digit Med 2026) · paper: AnySleep: a channel-agnostic deep learning system for high-resolution sleep staging in multi-center cohorts · uses MESA Sleep, Sleep Heart Health Study (SHHS, NSRR), MrOS Sleep Study (Osteoporotic Fractures in Men, NSRR), Sleep-EDF Database Expanded (PhysioNet), Cleveland Family Study (CFS), CHAT (Childhood Adenotonsillectomy Trial, NSRR): paediatric OSA PSG at baseline and 7-month follow-up and 3 more · EEG, EOG
- ECG-PPG JEPA (Bridging ECG and PPG; unnamed in paper) · paper: Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis · uses WESAD, PPG-DaLiA, PulseDB v2.0, BIDMC PPG and Respiration (Pimentel 2016 / PhysioNet), Stanford wrist PPG AF (DeepBeat), Brno University of Technology Smartphone PPG Database (BUT PPG) and 3 more · PPG, ECG
- Geenjaar multimodal-supervision PPG FM · paper: A robust PPG foundation model using multimodal physiological supervision · uses PPG-DaLiA, VitalVideos, EEVR · PPG
- HARNet / OxWearables SSL · paper: Self-supervised learning for human activity recognition using 700,000 person-days of wearable data, ActiNet: an open-source tool for activity intensity classification of wrist-worn accelerometry using self-supervised deep learning · uses WISDM AR v1.1, CAPTURE-24 · IMU
- IMUGPT · paper: Evaluating Sources of Diversity in Text-Driven IMU Synthesis for Wearable Human Activity Recognition, VSMP-IMU: Video-Grounded Semantic Motion Programs for Sensor-Aware Synthetic IMU Generation and 1 more · uses PAMAP2, RealWorld HAR, USC-HAD · IMU
- LuminaECG · paper: Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations · ECG, Text
- SleepFM (v1) · paper: SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals · ECG, EEG, Resp, EMG
- SLIP (Sensor Language-Informed Pretraining; any-channel sensor-language FM) · paper: SLIP: Learning Transferable Sensor Models via Language-Informed Pretraining · uses WESAD · PPG, IMU, ECG, EEG, Text
- CHARM · paper: CHARM: cycle-phase supervision for a wearable foundation model of women's health (Terra API; Research Square 2026) · uses mcPHASES: A Dataset of Physiological, Hormonal, and Self-reported Events and Symptoms for Menstrual Health Tracking with Wearables · Resp, Temp, HR, HRV
- ECGJev · paper: ECGJev: Question-Conditioned Option Scoring for 12-Lead ECG Interpretation (arXiv 2611.02041) · uses PTB-XL, CPSC2018 (China Physiological Signal Challenge 2018): 12-lead ECG arrhythmia set, redistributed in PhysioNet Challenge 2020 · ECG
- LYNX-ECG · paper: Accurate and Auditable ECG Classification via Visibility Graph Neural Networks (LYNX-ECG) · uses PTB-XL, CODE-test: annotated 12-lead ECG test set (Ribeiro 2020, Zenodo) · ECG
- NeuroRVQ (PPG tokenizer) · paper: A Comprehensive Review of Biosignal Foundation Models · PPG, ECG, EEG
- OSF (Open Sleep Foundation Models) · paper: OSF: On Pre-training and Scaling of Sleep Foundation Models · EEG, Resp, SpO₂, EOG, EMG
- RAE-PPG · paper: RAE-PPG: Duration-Grounded Retain-and-Extend Pretraining for PPG Foundation Models · uses PPG-DaLiA, WESAD, VitalDB, MESA Sleep, Stanford wrist PPG AF (DeepBeat), Brno University of Technology Smartphone PPG Database (BUT PPG) and 3 more · PPG
- Apple WBM (Wearable Behavioral Model) · paper: Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions (WBM)
- FreqPhys · uses PURE, MMPD, BUAA-MIHR, VIPL-HR
- IMU2CLIP · paper: IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and Text · uses Ego4D: 3,670 h of egocentric daily-life video from 931 camera wearers, with head-camera IMU on part of the data · IMU
- Inertia-1 · paper: Inertia-1: An Open Exploration of Wearable Motion Foundation Models, Inertia-1: Open Exploration of Wearable Motion Foundation Models · IMU
- SiamQuality · paper: SiamQuality: A ConvNet-Based Foundation Model for Imperfect Physiological Signals · uses UCSF ICU bedside-monitor waveforms (private; GPT-PPG / SiamQuality / SQUWA pretraining) · PPG
- UniMTS · paper: UniMTS: Unified Pre-training for Motion Time Series, Sensor Modality Versus Pretraining for Recognising Bed-Exit–Relevant Postural Transitions: A Gyroscope-Focused Feasibility Study on Public Wearable-IMU Data · IMU
- Apple wearable biosignals FM · paper: Large-scale Training of Foundation Models for Wearable Biosignals · PPG, ECG
- Bio-PM · paper: Bio-PM: Bio-Inspired Self-Supervised Learning for Wrist-worn Accelerometer Data · IMU
- CrossHAR · IMU
- IMUDINO · paper: IMUDINO: Self-distilled Foundation Model for Inertial Sensing · uses PPG-DaLiA, HHAR, OPPORTUNITY, Daily and Sports Activities, Shoaib Sensors 2014, UCI HAPT and 1 more · IMU
- InrtlWrist · paper: OmniIMU-Bench: Benchmarking Wrist IMU Representations Across Kinematic, Semantic and Clinical Tasks, TransfHAR: Self-Supervised Wrist Representations for On-Demand Activity Recognition · uses PAMAP2, WISDM AR v1.1, HHAR, MHEALTH, OpenWatch · IMU
- Lapras (latent-reasoning post-training for time-series language models) · paper: Lapras: Latent Reasoning for Time Series Language Models · IMU, ECG, Text
- PAT (Pretrained Actigraphy Transformer) · paper: A Foundation Model for Wearable Movement Data in Mental Health Research (PAT), PAT: Pretrained Actigraphy Transformer · uses NHANES 2011-2012 Physical Activity Monitor - Raw Data 80hz (PAX80_G) · IMU
- SOTER · paper: Training and Scaling Compute-Optimal Physiological Waveform Foundation Models · uses WESAD, PTB-XL, Sleep-EDF Database Expanded (PhysioNet), ScientISST MOVE: Annotated Wearable Multimodal Biosignals recorded during Everyday Life Activities in Naturalistic Environments · PPG, ECG, EEG, EDA
- StreamPPG · uses PURE, MMPD, COHFACE
- TF-MambaNet · paper: TF-MambaNet: A Temporal and Frequency Fused Bidirectional Mamba Architecture for PPG Foundation Model · uses PPG-DaLiA, WESAD, BIDMC PPG and Respiration (Pimentel 2016 / PhysioNet), PPG-BP Database (Guilin / Liang 2018), MIMIC PERform, SDB and 1 more · PPG
- ActiNet (OxWearables activity-intensity classifier) · paper: ActiNet: an open-source tool for activity intensity classification of wrist-worn accelerometry using self-supervised deep learning · uses WISDM AR v1.1, CAPTURE-24, RealWorld HAR · IMU
- Apple accelerometer FM via PPG→ACC distillation · paper: Wearable Accelerometer Foundation Models for Health via Knowledge Distillation · PPG, IMU
- CAP · paper: CAP: Towards PPG Universal Representation Learning with Patient-level Supervision · uses WESAD, VitalDB, PulseDB v2.0, BIDMC PPG and Respiration (Pimentel 2016 / PhysioNet), Stanford wrist PPG AF (DeepBeat) · PPG, Text
- CLEF · paper: CLEF: Clinically-Guided Contrastive Learning for Electrocardiogram Foundation Models · uses MIMIC-IV-ECG · ECG
- GaitFM · paper: GaitFM: A Cross-Modal Foundation Model for Wearable Gait Assessment (Cai & Hong; arXiv 2611.01684) · uses FoG-STAR, ClinicalGait (Voisard 2025), NONAN GaitPrint, LTMM · IMU
- GlucoAgent · paper: GlucoAgent: Personalized Glucose Forecasting from Multimodal Personal Context (Meta Reality Labs; arXiv 2611.04126) · uses CGMacros: dual-CGM + Fitbit + meal macronutrients/photos in healthy, pre-diabetes and T2D adults (PhysioNet) · HR, Glucose
- HuBERT-ECG · paper: HuBERT-ECG: A Self-Supervised Foundation Model for Broad and Scalable Cardiac Applications · ECG
- LQ-rPPG · uses MMPD, PURE, COHFACE
- PHASE-Net · uses PURE, MMPD, BUAA-MIHR
- PhysLLM · uses PURE, MMPD, BUAA-MIHR
- PhysVR · uses MMPD, BUAA-MIHR, VIPL-HR
- Vision4PPG · paper: Vision4PPG: Emergent PPG Analysis Capability of Vision Foundation Models for Vital Signs like Blood Pressure · uses PPG-DaLiA, BIDMC PPG and Respiration (Pimentel 2016 / PhysioNet), Brno University of Technology Smartphone PPG Database (BUT PPG), PPG-BP Database (Guilin / Liang 2018), VitalVideos, Bed-Based BCG (Carlson, K-State) · PPG
- Wonderwall · paper: VSMP-IMU: Video-Grounded Semantic Motion Programs for Sensor-Aware Synthetic IMU Generation, Wonderwall: A Virtual-to-Real Foundation Model for IMU-based HAR · IMU
- Beat-synchronous ECG tokenizers (UMN, IEEE MLSP 2026) · paper: Beat-Synchronous Tokenization for ECG Transformers · uses PTB-XL · ECG
- BLPM (Brain Latent Predictive Model) · paper: Continuous-Latent Predictive Modeling with Semantic Alignment for EEG-Language Foundation Models · EEG, Text
- CEReBrO · paper: Finetuning and Quantization of EEG-Based Foundational BioSignal Models on ECG and PPG Data for Blood Pressure Estimation, CEReBrO: Compact Encoder for Representations of Brain Oscillations Using Efficient Alternating Attention · uses VitalDB, PulseDB v2.0 · PPG, ECG, EEG
- EdgeHAR · paper: EdgeHAR: An Edge-Native Compact Sensor Foundation Model for Human Activity Recognition · uses PAMAP2, UCI Human Activity Recognition Using Smartphones (UCI-HAR), HHAR, MotionSense, Shoaib Sensors 2014 · IMU
- FemWear · paper: FemWear: A Parameter-Efficient Wearable Foundation Model for Women's Health · uses mcPHASES: A Dataset of Physiological, Hormonal, and Self-reported Events and Symptoms for Menstrual Health Tracking with Wearables · PPG, IMU, Temp
- LIMU-BERT · paper: LIMU-BERT: Unleashing the Potential of Unlabeled Data for IMU Sensing Applications · IMU
- M2AE (Biosignal Fingerprinting) · paper: Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation Model · uses VitalDB, PulseDB v2.0, PTB-XL, CODE-15%: large annotated 12-lead ECG dataset (Telehealth Network of Minas Gerais) · PPG, ECG
- ProtoMM (Pulse-Motion) · paper: ProtoMM: Shared Prototypes for a Multimodal Pulse-Motion Foundation Model · uses WESAD, PPG-DaLiA, RealWorld HAR, MOODS · PPG, IMU
- Aether · paper: Training and Scaling Compute-Optimal Physiological Waveform Foundation Models · uses MIMIC-III Waveform MATCHED · PPG, ECG, Resp, BP
- FacePhys · uses PURE, MMPD, VitalVideos-Worldwide, RLAP
- IECG · uses PTB-XL, MIMIC-IV-ECG, Chapman–Shaoxing–Ningbo 12-lead ECG arrhythmia database (PhysioNet), CPSC2018 (China Physiological Signal Challenge 2018): 12-lead ECG arrhythmia set, redistributed in PhysioNet Challenge 2020 · ECG, Text
- MIRA · uses PTB-XL, Sleep-EDF Database Expanded (PhysioNet) · PPG, ECG, EEG, EHR
- PulseOx-FM · paper: A foundation model of wearable pulse oximetry reveals physiological signatures of health and cardiometabolic risk (PulseOx-FM) · uses VitalDB, MIMIC-III Waveform MATCHED · PPG, SpO₂, HR
- StepFM · paper: Physical activities enable scalable foundation modelling for broad-spectrum health prediction (StepFM) · IMU, Activity
- Text2IMU · paper: Evaluating Sources of Diversity in Text-Driven IMU Synthesis for Wearable Human Activity Recognition, Text2IMU: Advancing Human Activity Recognition by Text-Driven IMU Data Synthesis · uses PAMAP2, WISDM AR v1.1, RealWorld HAR · IMU
- VarMAE · paper: Variable Input Masked Autoencoders for Wrist-Worn Accelerometry (VarMAE) · uses NHANES 2011-2012 Physical Activity Monitor - Raw Data 80hz (PAX80_G) · IMU
- AI-PPG-ACC-HTN (Google Waveform Encoder + HTN probe) · paper: Opportunistically Detecting Signs of Hypertension on a Consumer Smartwatch (AI-PPG-ACC-HTN; Di Achille, Poh et al., Nature 2026), WavesFM: Hierarchical Representation Learning for Longitudinal Wearable Sensor Waveforms · PPG, IMU
- CM-TCC (Cross-Modal Temporal and Contextual Contrasting; ECG + ACC encoders, Emognition) · uses WESAD, MHEALTH, Emognition · IMU, ECG
- ECG-JEPA (Samsung Medical Center; 12-lead ECG JEPA) · paper: ECG-JEPA: Learning General Representation of 12-Lead ECG with a Joint-Embedding Predictive Architecture · uses PTB-XL, Chapman–Shaoxing–Ningbo 12-lead ECG arrhythmia database (PhysioNet), CODE-15%: large annotated 12-lead ECG dataset (Telehealth Network of Minas Gerais) · ECG
- HiMAE · uses Samsung AFib/PVC study, Samsung Galaxy Watch PPG pretraining corpus (~32K users, ~17M 10-s segments; private), Samsung BP lab study, Samsung BP free-living study · PPG
- IMUdrape · paper: Evaluating Sources of Diversity in Text-Driven IMU Synthesis for Wearable Human Activity Recognition, IMUdrape: Generating Garment-Mounted Virtual IMU Data from Text through Physics-Based Cloth Simulation (Leng & Plötz; arXiv 2611.02393) · IMU
- Multimodal EEG World Model (wearable EEG, ECG/EMG/movement-conditioned latent transition SSL) · uses SeizeIT2 · IMU, ECG, EEG, EMG
- PhysioOmni · uses Sleep-EDF Database Expanded (PhysioNet) · ECG, EEG, EOG, EMG
- PPG-LM · paper: PPG-LM: A Photoplethysmography–Language Model with Multi-Level Clinical Alignment · uses VitalDB, MIMIC-III-Ext-PPG · PPG, Text
- QECGBERT (VQ-VAE beat-token BERT ECG FM; Afghah lab) · uses PTB-XL, MIMIC-IV-ECG, Chapman–Shaoxing–Ningbo 12-lead ECG arrhythmia database (PhysioNet), CPSC2018 (China Physiological Signal Challenge 2018): 12-lead ECG arrhythmia set, redistributed in PhysioNet Challenge 2020 · ECG
- Samsung MMR · uses Samsung AFib/PVC study, Samsung Galaxy Watch PPG pretraining corpus (~32K users, ~17M 10-s segments; private), Samsung BP lab study, Samsung BP free-living study · PPG
- VitalsSight · uses MCD-rPPG, UBFC-Phys, SCAMPS, rPPG-10, 4TU rPPG Benchmark
- BioLT (streaming long-context biosignal modeling) · uses VitalDB · PPG, ECG, EEG
- ECGTFormer (NYU Abu Dhabi; physiology-aware ECGTokenizer + causal V-JEPA ECG FM) · paper: Rethinking ECG Tokenization: A Unified Taxonomy and Clinically-Grounded ECG Foundation Model · uses PTB-XL, Chapman–Shaoxing–Ningbo 12-lead ECG arrhythmia database (PhysioNet) · ECG
- FairTune · paper: FairTune: A Bias-Aware Fine-Tuning Framework Towards Fair Heart Rate Prediction from PPG · uses PPG-DaLiA, Brno University of Technology Smartphone PPG Database (BUT PPG) · PPG
- GlucoPRISM (protocol-supervised CGM encoder; Trait/State/Sensor bands) · paper: GlucoPRISM: Protocol-Supervised Pretraining for Cross-Cohort Glucose Transfer · uses BIG IDEAs Lab Glycemic Variability and Wearable Device Data · Glucose
- JETS (Empirical Health; joint-embedding FM for irregular behavioural wearable time series) · paper: JETS: A Self-Supervised Joint Embedding Time Series Foundation Model for Behavioral Data in Healthcare · SpO₂, HR, Activity
- PG-LRF · paper: Position: Beyond Prediction: Toward Verifiable Physiological Waveform Reasoning with Foundation Models and Agentic LLMs, PG-LRF: Physiology-Guided Latent Rectified Flow for Electro-Hemodynamic PPG-to-ECG Generation · PPG, ECG
- PPG-Distill · paper: PPG-Distill: Efficient Photoplethysmography Signals Analysis via Foundation Model Distillation · uses PPG-DaLiA, Stanford wrist PPG AF (DeepBeat) · PPG
- QUMPHY D1 PPG benchmark checkpoints (BP + AF; ResNet18 image / TCN / MLP) · uses VitalDB, PulseDB v2.0, Stanford wrist PPG AF (DeepBeat) · PPG
- Ranka et al. cuffless-BP baselines on PulseDB (RF, GB, 1D-CNN, ResNet1D, DMT-style Transformer) · uses PPG-DaLiA, PulseDB v2.0 · PPG, ECG
- Reliability-Guided Video Token Learning for contactless HR + RR with uncertainty (CIKM 2026) · uses COHFACE, IMVIA-NIR, AIR-400 (incl. AIR-125), MPSC-RR
- Sensori · uses PAMAP2, WISDM AR v1.1, CAPTURE-24 · IMU
- SPOTR · paper: SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning · PPG, ECG, EEG
- xECG · paper: BenchECG and xECG: a benchmark and baseline for ECG foundation models (xLSTM) · uses Stanford wrist PPG AF (DeepBeat), St Petersburg INCART 12-lead Arrhythmia Database (PhysioNet) · ECG
- BrainPro (NTU; process-conditioned, topographic-retrieval EEG FM) · paper: BrainPro: Process-conditioned Pretraining with Topographic Retrieval for Large EEG Models · uses FACED: Finer-grained Affective Computing EEG Dataset (123 subjects, 32-ch EEG, 28 emotion video clips, 9 emotion categories) · EEG
- EEG-Captioner (SJTU X-LANCE; Dual-Domain EEG encoder + Qwen2.5-Omni LoRA) · paper: EEG-Captioner: Grounding EEG-to-Language Generation in Fundamental Signal Properties · EEG, Text
- GRIP activity-intensity models (wrist ACC, chronic pain) · paper: An open-source deep learning model for classifying real-world activity intensities in persons with chronic pain using a wrist-worn accelerometer · uses CAPTURE-24 · IMU
- MS-ECG-FM · paper: MS-ECG-FM: Towards a More Universal Electrocardiogram Foundation Model for Health Monitoring using Multi-source Contrastive Learning · uses MIMIC-IV-ECG · ECG
- SIGMA-PPG · paper: PPG-Bench: A Unified Benchmark for PPG Foundation Models · PPG
- SynHAR · paper: Evaluating Sources of Diversity in Text-Driven IMU Synthesis for Wearable Human Activity Recognition, SynHAR: Augmenting Human Activity Recognition With Synthetic Inertial Sensor Data Generated From Human Surface Models · IMU
- Unified Inertial Encoder (Amazon FAR) · paper: A Unified Inertial Encoder for Human and Humanoid Motion · uses Nymeria · IMU
- WavesFM · paper: WavesFM: Hierarchical Representation Learning for Longitudinal Wearable Sensor Waveforms · PPG, IMU
- BioCodec (USC SAIL; neural-codec biosignal tokenizer) · EEG, EMG
- BrainCodes (USC SAIL + Microsoft Research; lightweight EEG FM over BioCodec tokens) · paper: BrainCodes: A Lightweight EEG Foundation Model over Discrete Neural Codes · EEG
- CM-SSL (cross-modal token-vocabulary SSL for ECG/PPG) · PPG, ECG
- ECGFM-U-Lite (1D-MobileViT student distilled from a unified ECG FM) · paper: A lightweight ECG model with teacher-derived integrated medical semantic preservation for cardiac disease screening (ECGFM-U-Lite) · ECG
- HDCZA · paper: Estimating sleep parameters using an accelerometer without sleep diary · IMU
- Lead-adaptive SSL ECG model (VQ-VAE tokenizer + lead-adaptive MAE; BSPC 2026) · paper: Lead-adaptive self-supervised ECG representation model for multi-scenario ECG monitoring · ECG
- ME-rPPG · uses MMPD, PURE
- MS-rPPG · paper: MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems · uses MS-Drive
- Pediatric ECG FM · paper: Pediatric ECG foundation model via adult-to-pediatric fine-tuning (Cao, Xu, Li et al., arXiv 2611.07717) · ECG
- Personal Health Agent (PHA; Google multi-agent framework over wearable + medical data) · Text, EHR
- PHA + FDP · uses PURE, COHFACE
- RL-PPG (Real-Life PPG encoder; Emognition) · paper: Take it Personally: The Limits of General SSL Representations for Real-Life PPG Emotion Detection · PPG
- TPA-Flow · uses MMPD, PURE
- wHuBERT · PPG, IMU
- Amsterdam UMC ECG-LVEF model · ECG
- FLOW · paper: FLOW: Feature-Level Optimal Warping for Generalized Remote Physiological Measurement
- PhysFormer · paper: PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer
- ResPulseNet · uses MCD-rPPG
- RhythmNet · uses VIPL-HR
Datasets 383
- PPG-DaLiA · used by 58 records · PPG, IMU, ECG, Resp, Temp
- WESAD · used by 57 records · PPG, IMU, ECG, Resp, EDA, Temp
- VitalDB · used by 50 records · PPG, ECG, Resp, BP
- MESA Sleep · used by 33 records · PPG, IMU, ECG, EEG, Resp, PSG
- PulseDB v2.0 · used by 34 records · PPG, ECG, BP
- PTB-XL · used by 34 records · ECG
- PAMAP2 · used by 29 records · IMU, Temp, HR
- Sleep Heart Health Study (SHHS, NSRR) · used by 19 records · ECG, EEG, Resp, SpO₂, PSG
- BIDMC PPG and Respiration (Pimentel 2016 / PhysioNet) · used by 19 records · PPG, ECG, Resp, SpO₂
- WISDM AR v1.1 · used by 20 records · IMU
- Stanford wrist PPG AF (DeepBeat) · used by 18 records · PPG
- CAPTURE-24 · used by 17 records · IMU
- MIMIC-IV-ECG · used by 17 records · ECG
- UCI Human Activity Recognition Using Smartphones (UCI-HAR) · used by 17 records · IMU
- RealWorld HAR · used by 15 records · IMU, Audio
- Brno University of Technology Smartphone PPG Database (BUT PPG) · used by 14 records · PPG, ECG
- MrOS Sleep Study (Osteoporotic Fractures in Men, NSRR) · used by 10 records · ECG, EEG, Resp, SpO₂, PSG
- PPG-BP Database (Guilin / Liang 2018) · used by 13 records · PPG
- Sleep-EDF Database Expanded (PhysioNet) · used by 10 records · EEG, Resp, Temp, PSG
- Daily and Sports Activities · used by 12 records · IMU
- DREAMT · used by 8 records · PPG, IMU, EDA, Temp, PSG
- HHAR · used by 12 records · IMU
- MMPD · used by 11 records · PPG, Video
- OPPORTUNITY · used by 12 records · IMU
- PURE · used by 11 records · PPG, Video
- WildPPG · used by 8 records · PPG, IMU, ECG, Temp, Barometer
- USC-HAD · used by 11 records · IMU
- ABC (Apnea, Bariatric surgery, and CPAP study, NSRR): PSG in 49 adults with class II obesity and severe OSA · used by 4 records · PPG, ECG, EEG, Resp, SpO₂, PSG, EOG
- CCSHS (Cleveland Children's Sleep and Health Study, NSRR): in-lab PSG with finger pleth in a pediatric/adolescent cohort (907 children) · used by 4 records · PPG, ECG, EEG, Resp, SpO₂, PSG, EOG
- CHAT (Childhood Adenotonsillectomy Trial, NSRR): paediatric OSA PSG at baseline and 7-month follow-up · used by 5 records · PPG, ECG, EEG, Resp, SpO₂, EOG
- Cleveland Family Study (CFS) · used by 9 records · PPG, PSG
- IEEE Signal Processing Cup 2015 (TROIKA) · used by 8 records · PPG, IMU, ECG
- mcPHASES: A Dataset of Physiological, Hormonal, and Self-reported Events and Symptoms for Menstrual Health Tracking with Wearables · used by 4 records · Resp, Temp, SpO₂, HR, Glucose, HRV, Activity
- UCI Cuff-Less Blood Pressure Estimation (UCI 340; Kachuee 2015) · used by 8 records · PPG, ECG, BP
- Chapman–Shaoxing–Ningbo 12-lead ECG arrhythmia database (PhysioNet) · used by 9 records · ECG
- MHEALTH · used by 9 records · IMU
- MIMIC PERform · used by 6 records · PPG, ECG, Resp, BP
- NHANES 2011-2012 Physical Activity Monitor - Raw Data 80hz (PAX80_G) · used by 9 records · IMU
- PhysioNet/CinC Challenge 2018: arousal detection from overnight PSG (MGH sleep lab, 1,985 subjects) · used by 6 records · ECG, EEG, SpO₂, EOG
- BIG IDEAs Lab Glycemic Variability and Wearable Device Data · used by 4 records · PPG, IMU, EDA, Temp, Glucose
- CPSC2018 (China Physiological Signal Challenge 2018): 12-lead ECG arrhythmia set, redistributed in PhysioNet Challenge 2020 · used by 8 records · ECG
- ECSMP · used by 3 records · PPG, IMU, ECG, EEG, EDA, Temp
- K-EmoCon · used by 2 records · PPG, IMU, ECG, EEG, EDA, Temp, HR
- Long-term ECG and wrist PPG with annotated AF episodes (AFPPGECG) · used by 6 records · PPG, IMU, ECG
- MIMIC-BP · used by 5 records · PPG, ECG, Resp, BP
- MotionSense · used by 8 records · IMU
- Shoaib Sensors 2014 · used by 8 records · IMU
- STAGES · used by 2 records · PPG, IMU, ECG, EEG, Resp, SpO₂, PSG
- Study of Osteoporotic Fractures sleep visit (SOF, NSRR): in-home PSG in 461 women aged 65+ (2002-2003) · used by 3 records · ECG, EEG, Resp, SpO₂, PSG, EOG
- AAUWSS · PPG, IMU, ECG, EEG, EDA, Temp, PSG, EOG
- APPLES (Apnea Positive Pressure Long-term Efficacy Study, NSRR): repeated PSG in a 6-month sham-controlled CPAP RCT (1,516 enrolled) · used by 2 records · ECG, EEG, Resp, SpO₂, PSG, EOG
- COHFACE · used by 5 records · PPG, Resp, Video
- Ego4D: 3,670 h of egocentric daily-life video from 931 camera wearers, with head-camera IMU on part of the data · used by 5 records · IMU, Video, Audio
- MIMIC-III Waveform MATCHED · used by 6 records · PPG, BP
- MIMIC-III-Ext-PPG · used by 4 records · PPG, ECG, Resp, BP
- MOV-AAD: A Large-Scale Multimodal Dataset for Auditory Attention Decoding During Moving Conversations · PPG, IMU, EEG, Resp, EDA, Temp, SpO₂, HR
- PATS (NSRR): Pediatric Adenotonsillectomy Trial for Snoring, PSG + 7-day wrist actigraphy in children 3-12 with mild SDB · PPG, IMU, ECG, EEG, Resp, SpO₂, PSG, EOG
- Pulse Transit Time PPG · used by 5 records · PPG, IMU, ECG
- SDB · used by 6 records · PPG, SpO₂
- UK Biobank wrist accelerometer (Axivity AX3 / field 90001) · used by 7 records · IMU
- A Multimodal Dataset for Investigating Working Memory in Presence of Music · PPG, IMU, ECG, EEG, Resp, EDA, Temp
- AQUASET · PPG, IMU, ECG, EEG, EDA, Temp, HRV
- Barcelona SICU signals · PPG, ECG, EEG, Resp, SpO₂, HR, BP
- Bed-Based BCG (Carlson, K-State) · used by 2 records · PPG, ECG, Resp, BP, BCG
- CGMacros: dual-CGM + Fitbit + meal macronutrients/photos in healthy, pre-diabetes and T2D adults (PhysioNet) · used by 5 records · Glucose, Activity
- EarSet · used by 3 records · PPG, IMU, ECG, Resp
- Ego-Exo4D: 1,286 h of synchronised ego (Aria glasses) and exo video of skilled activities from 740 participants, with Aria IMUs · used by 4 records · IMU, Video, Audio
- Gyro-Acc-PPG (BAMI-I, Wonkwang) · used by 4 records · PPG, IMU, ECG
- LifeSnaps: 4-month in-the-wild Fitbit Sense + EMA + surveys (71 participants, EU H2020 RAIS) · used by 1 record · ECG, Resp, Temp, SpO₂, HR, Activity
- MIMIC II Waveform Database v3.2 (PhysioNet legacy): ICU bedside ECG, ABP, fingertip PPG and numerics, 67,830 records · used by 2 records · PPG, ECG, Resp, SpO₂, BP
- MIMIC-IV Waveform Database (PhysioNet preview) · used by 3 records · PPG, ECG, Resp, BP
- MOODS · used by 5 records · PPG, IMU
- Nymeria · used by 3 records · IMU, Video, Audio, Barometer
- OSASUD · used by 1 record · PPG, ECG, Resp, SpO₂, HR, PSG
- UCSF ICU bedside-monitor waveforms (private; GPT-PPG / SiamQuality / SQUWA pretraining) · used by 4 records · PPG, ECG, Resp
- UQVitalSigns · used by 2 records · PPG, ECG, Resp, SpO₂, BP
- VitalVideos · used by 6 records · PPG
- VitalVideos-Worldwide · used by 1 record · PPG, ECG, Resp, SpO₂, BP, Video
- Wearanize+ OA · PPG, IMU, EEG, EDA, Temp, PSG, EOG
- ApoE: Sleep Disordered Breathing, ApoE and Lipid Metabolism (Stanford, in-lab PSG) (NSRR) · ECG, EEG, Resp, SpO₂, PSG, EOG
- Auricle · PPG, IMU, ECG, Resp, BP, Audio
- BP4D-Dyadic / Inter-Stance · PPG, Resp, EDA, BP, Video, Audio
- BUAA-MIHR · used by 4 records · PPG, Video
- CODE-test: annotated 12-lead ECG test set (Ribeiro 2020, Zenodo) · used by 5 records · ECG
- DNSPN: Disrupted Nighttime Sleep in Pediatric Narcolepsy (Boston Children's) (NSRR) · ECG, EEG, Resp, SpO₂, PSG, EOG
- DOSE-I · PPG, ECG, EEG, Resp, SpO₂, HR
- E4 Stress + Exercise (PhysioNet wearable-device-dataset) · used by 2 records · PPG, IMU, EDA, Temp
- Emognition · used by 1 record · PPG, IMU, EEG, EDA, Temp
- EmpaticaE4Stress (workplace cognitive stress) · used by 2 records · PPG, IMU, EDA, Temp
- FACED: Finer-grained Affective Computing EEG Dataset (123 subjects, 32-ch EEG, 28 emotion video clips, 9 emotion categories) · used by 5 records · EEG
- FD-CSR: Forced Desynchrony with and without Chronic Sleep Restriction (inpatient) (NSRR) · IMU, ECG, EEG, Temp, PSG, EOG
- HeartBEAT · PPG, IMU, ECG, Resp, SpO₂, PSG
- ITB synchronized radar + RGB camera + wrist PPG/IMU cardiorespiratory dataset (IEEE DataPort, 2025) · PPG, IMU, ECG, Resp, Video, rPPG
- OpenOximetry Repository (PhysioNet Restricted) · used by 1 record · PPG, ECG, Resp, SpO₂, BP
- PMData: 5-month sports + lifelogging set, Fitbit Versa 2 + PMSys (16 participants, Simula) · used by 4 records · HR, Activity
- Radboud PTT PPG+BP (Mol 2020) · PPG, ECG, Resp, Temp, SpO₂, BP
- Samsung AFib/PVC study · used by 5 records · PPG
- Simultaneous physiological measurements with five devices at different cognitive and physical loads · PPG, IMU, ECG, Resp, SpO₂, HR
- Stillness 2025 (Deichman) · IMU, ECG, Resp, Temp, HR, HRV
- Tutunji prolonged stress · PPG, IMU, EDA, Temp, HR, HRV
- UCI HAPT · used by 5 records · IMU
- VitalVideos-Longitudinal · PPG, ECG, Resp, SpO₂, BP, Video
- ZU-PWD '25 · IMU, Resp, EDA, Temp, HR, HRV
- A Longitudinal and Multimodal physiological signals dataset of Para handcycling training and race for SCI Rehabilitation · IMU, ECG, Resp, Temp, SpO₂
- ADABase · PPG, ECG, Resp, EDA, Temp
- AI-READI · IMU, ECG, SpO₂, HR, Glucose
- Autism Inpatient Collection (AIC) · used by 2 records · PPG, IMU, EDA
- BP4D+ / MMSE · Resp, EDA, HR, BP, Video
- CapnoBase IEEE TBME RR benchmark (Karlen 2013) · used by 2 records · PPG, ECG, Resp
- CODE-15%: large annotated 12-lead ECG dataset (Telehealth Network of Minas Gerais) · used by 4 records · ECG
- EPIStress (epilepsy cognitive stress, E4+Muse) · PPG, IMU, EEG, EDA, Temp
- ForDigitStress · PPG, IMU, EEG, EDA, Temp
- FORTH Stress dataset · ECG, Resp, EDA, Video, EMG
- GalaxyPPG · used by 1 record · PPG, IMU, ECG, Temp
- GroupAffect-4 · PPG, IMU, EDA, Temp, Audio
- Harvard-Emory ECG Database (HEEDB v5.0) · used by 4 records · ECG
- Icentia11k single-lead continuous raw ECG (PhysioNet) · used by 4 records · ECG
- LOFT-HF: Low-flow nocturnal oxygen in heart failure with central sleep apnea (RCT) (NSRR) · ECG, EEG, Resp, SpO₂, PSG
- MAHNOB-HCI · PPG, ECG, EEG, Resp, Video
- MBB-AVR · PPG, ECG, EEG, Resp, EDA
- MCD-rPPG · used by 2 records · PPG, ECG, Video
- MEFAR · PPG, IMU, EEG, EDA, Temp
- MFD · PPG, ECG, EEG, EOG, BCG
- Office Everyday MWL (MW_OFFICE, n=10 E4) · PPG, IMU, EEG, EDA, Temp
- OpenWatch · used by 3 records · PPG, IMU
- Pulsewatch · used by 2 records · PPG, IMU, ECG
- REVELIO · PPG, ECG, Resp, EDA, Temp
- Samsung BP free-living study · used by 4 records · PPG
- Samsung BP lab study · used by 4 records · PPG
- Samsung Galaxy Watch PPG pretraining corpus (~32K users, ~17M 10-s segments; private) · used by 4 records · PPG
- ScientISST MOVE: Annotated Wearable Multimodal Biosignals recorded during Everyday Life Activities in Naturalistic Environments · used by 1 record · PPG, IMU, ECG, EDA
- SensSmartTech · used by 1 record · PPG, IMU, ECG, PCG
- SONATA · PPG, ECG, Resp, EDA, Temp
- TNDA-HAR · used by 4 records · IMU
- Towards On-Device Dehydration Monitoring Using Machine Learning from Wearable Device's Data (Shimmer3 GSR+ raw dataset) · PPG, IMU, EDA, Temp, Barometer
- UBFC-Phys · used by 2 records · PPG, EDA, rPPG
- UNIVERSE (mental workload + stress, ~315h E4) · PPG, IMU, EEG, EDA, Temp
- UTSA-PPG · used by 2 records · PPG, IMU, ECG
- VerBIO · PPG, IMU, ECG, EDA, Temp
- Veterinary Vital Sign Time-Series Database during General Anesthesia (PhysioNet, 226 canine/feline cases) · PPG, ECG, SpO₂, HR, BP
- VIPL-HR · used by 3 records · PPG, Video
- VitalVideos-Africa-1 · PPG, Resp, SpO₂, BP, Video
- WARM-VR · PPG, IMU, ECG, EDA, Temp
- ADARP (AUD EMA stress, E4) · PPG, IMU, EDA, Temp
- BIOSTRESS (psychologist induction + exam) · PPG, IMU, EDA, Temp
- CAN-STRESS (ambulatory E4 stress 0–9) · PPG, IMU, EDA, Temp
- CLAS · PPG, IMU, ECG, EDA
- D1NAMO · IMU, ECG, Resp, Glucose
- DAPPER · PPG, IMU, EDA, Temp
- EEVR · used by 2 records · PPG, EDA
- EmoWear (E4 SAM affect) · PPG, IMU, EDA, Temp
- ESCOLAR · PPG, IMU, EDA, Temp
- GLOBEM: multi-year (2018-2021) phone + Fitbit behaviour-sensing sets, 497 students / 705 person-years, depression labels · used by 3 records · Activity
- HealthRing RingDatasetV2.1 · PPG, IMU, ECG, Resp
- Human Sleep Project (BDSP) · used by 2 records · PPG, PSG
- KU-HAR · used by 3 records · IMU
- Landry ADL · PPG, IMU, ECG, BP
- LAUREATE · PPG, IMU, EDA, Temp
- LOADX · IMU, ECG, Resp, EDA
- Long-term ECG + wrist PPG with annotated AF episodes (Bacevičius 2024, Zenodo) · used by 1 record · PPG, IMU, ECG
- MAUS · PPG, ECG, EDA, HRV
- Mayo LBNP hypovolemia: non-invasive biomarkers during lower body negative pressure · PPG, ECG, BP, Bioimpedance
- MIMIC3-AF-Bashar · PPG, ECG, Resp, BP
- MOCAS · PPG, IMU, EDA, Temp
- MSP: Maternal Sleep in Pregnancy and the Fetus (in-lab PSG + fetal ECG, 36 wk) (NSRR) · ECG, Resp, SpO₂, PSG
- Multi-site PPG (Earring / Necklace / Ring / Watch) · PPG, IMU, ECG, Temp
- Multimodal Micromobility Stress Dataset · PPG, IMU, EDA, Temp
- MW-PPG-HR · used by 1 record · PPG, IMU, ECG
- NAPS: North American Prodromal Synucleinopathy consortium (iRBD, in-lab PSG) (NSRR) · EEG, Resp, SpO₂, PSG
- Newcastle PSG + GENEActiv both wrists (sleep clinic, 2015) · used by 3 records · IMU
- NFS: Need for Sleep (adolescent sleep restriction, Singapore) (NSRR) · IMU, EEG, PSG, EOG
- nuMoM2b · used by 2 records · PPG, PSG
- NURSE (hospital stress, E4, Dryad) · PPG, IMU, EDA, Temp
- Office comfort & physiology under varied lighting and thermal conditions (ZAG Ljubljana) · IMU, EDA, Temp, HR
- PhyMER · PPG, EEG, EDA, Temp
- PhysDrive · PPG, ECG, Resp, Video
- PulseLM: PPG-text QA foundation dataset and benchmark (1.08 M 10-s PPG segments from 16 public sources, 2.48 M QA pairs) · used by 3 records · PPG
- PVDOMICS: pulmonary vascular disease phenomics (home sleep apnea test) (NSRR) · PPG, ECG, Resp, SpO₂
- QU Autism · PPG, IMU, EDA, Temp
- Regulation of Brain Cognitive States through Auditory, Gustatory, and Olfactory Stimulation with Wearable Monitoring · PPG, IMU, EEG, EDA
- RICCADSA: CPAP in coronary artery disease and OSA (Sweden RCT) (NSRR) · ECG, Resp, SpO₂, PSG
- SCAMPS · used by 1 record · PPG, Resp, Video
- SeizeIT2 · used by 1 record · IMU, ECG, EEG
- SRF cognitive adaptation · PPG, EEG, Resp, EDA
- St Petersburg INCART 12-lead Arrhythmia Database (PhysioNet) · used by 3 records · ECG
- Stress-Predict Dataset (E4, MIT) · PPG, IMU, EDA, Temp
- Three-wearable · PPG, IMU, EDA, Temp
- TILES-2018 · used by 1 record · PPG, IMU, ECG
- Tøien 2025: black bear hibernation PSG (sleep classifier evaluation) (NSRR) · ECG, EEG, Resp, EOG
- Treadmill fatigue · PPG, ECG, EDA, HR
- Two-wearables placements · PPG, IMU, EDA, Temp
- Walker posture E4 · PPG, IMU, EDA, Temp
- WenXinWuYang · used by 2 records · PPG, ECG
- Wrist PPG During Exercise (PhysioNet wrist) · used by 1 record · PPG, IMU, ECG
- 4TU rPPG Benchmark · used by 1 record · ECG, Video
- Adelaide ASPEN wearable-PSG garment · ECG, Resp, Temp
- AdVitam · ECG, Resp, EDA
- Barocontrol in healthy subjects (Mol/van Wezel, Radboud) · PPG, ECG, BP
- BIDSleep · IMU, EEG, HR
- Boston Children's Hospital Sleep Corpus v1.0.1 · ECG, SpO₂, PSG
- BrisT1D-Open · HR, Glucose, Activity
- CACHET-CADB: A Contextualized Ambulatory Electrocardiography Arrhythmia Dataset · IMU, ECG, Barometer
- CinC / PhysioNet Challenge 2015 · PPG, ECG, BP
- ClinicalGait (Voisard 2025) · used by 2 records · IMU
- CMMW: C57BL6/J Mouse Morphine Withdrawal (EEG/EMG, SRI) (NSRR) · IMU, EEG, Temp
- Continuous cuffless BP via graphene bioimpedance tattoos (PhysioNet) · PPG, BP, Bioimpedance
- Daily Activities Wearable Dataset for Cardiorespiratory Fitness (UPRM; IMU + HR + SpO2, n=67) · IMU, SpO₂, HR
- DISE-CAD: Upper-airway obstruction during drug-induced sleep endoscopy (Inspire implant patients) (NSRR) · Resp, SpO₂, PSG
- EchoNext-Mini · used by 2 records · ECG
- FIRMED · PPG, ECG, EDA
- FoG-STAR · used by 2 records · IMU
- Gulledge 2025: rat oxycodone-withdrawal sleep EEG/EMG (NSRR) · IMU, EEG, Temp
- Half-marathon wearable sensor data: RIP breathing, trunk acceleration, HR, GPS speed and fatigue ratings (15 runners) · IMU, Resp, HR
- HARTH · used by 2 records · IMU
- HEART-Watch · PPG, IMU, ECG
- IMU50 · PPG, IMU, Temp
- IMVIA-NIR · used by 1 record · PPG, Video
- ISAPS: Intern Sleep and Patient Safety (ICU interns, home PSG) (NSRR) · ECG, EEG, EOG
- Lightweight BP Estimation (Yongjian Li) · PPG, ECG, BP
- LTMM · used by 2 records · IMU
- MISSION1BP-GMU-KIME · PPG, IMU, ECG
- Motion and heart rate from a wrist-worn wearable and labeled sleep from polysomnography · used by 1 record · IMU, HR
- MPU-rPPG · PPG, SpO₂, Video
- MS-Drive · used by 1 record · ECG, Video
- Muse S Athena sensor-failure recordings · PPG, ECG, EEG
- MyMove · used by 1 record · IMU, HR
- NeuroBioSense · PPG, EDA, Temp
- NONAN GaitPrint · used by 2 records · IMU
- OpenNeuro ds007537 · PPG, EEG, EDA
- Podcast playback-speed physio · PPG, EEG, EDA
- PPG-Sport · PPG, IMU, ECG
- PPGArrhythmia (Liu 2022) · used by 2 records · PPG
- QoL_Stress · ECG, EDA, HR
- RLAP · used by 1 record · PPG, Video
- rPPG-10 · used by 1 record · ECG, Video
- Sensors Aguirre 2021 · used by 1 record · PPG, BP
- Stanford Sleep Bench v1.0 · ECG, SpO₂, PSG
- Tricam-rPPG · PPG, IMU, Video
- Valparaíso Finapres NOVA set · PPG, ECG, BP
- VicarPPG-2 · PPG, ECG, Video
- w-HAR · used by 2 records · IMU
- WEAR · used by 2 records · IMU
- WF-PPG · PPG, ECG, SpO₂
- WristSense · IMU, SpO₂, HR
- μDPad · used by 1 record · PPG, IMU
- τ-Ring dataset (thuhci/RingTool) · used by 1 record · PPG, IMU
- AIR-400 (incl. AIR-125) · used by 1 record · Video
- ArWISE Vol4 · IMU, HR
- Biagetti wrist PPG + ACC · PPG, IMU
- BigIdeasLab_STEP: smartwatch HR vs ECG across Fitzpatrick I–VI (53 adults, 6 wearables, Duke 2019) · ECG, HR
- Blue and Green PPG (Shchelkanova / Mendeley) · PPG, ECG
- Blumio · PPG, BP
- BMD-HS · used by 1 record · Audio
- Cardiorespiratory DB (UNIVPM) · ECG, Resp
- CardioWave-Portable · PPG, ECG
- CHILL · PPG, Video
- COVID Lockdown Gear Sport (longitudinal wearable + EMA) · PPG, IMU
- CRHE · used by 1 record · PPG
- DEO · used by 1 record · IMU
- Diverse rPPG Dataset (rPPG-26) · Video, HRV
- ECG-Fitness · ECG, Video
- EmbracePlus real-world driving · PPG, IMU
- EMPD · PPG, Video
- Emteq Breathing Data VR (forehead PPG) · PPG, IMU
- ePPG glucose dataset (STU Bratislava) · PPG, IMU
- Finger-contact ECG + dual-wavelength (660/940 nm) PPG, rest + post-exercise recovery (n=148, 444 records) · PPG, ECG
- Galaxy Watch Active2 raw PPG+ACC (PHQ-9 / GAD-7) · PPG, IMU
- HARMES · IMU, Audio
- Healful · IMU, HR
- HeartCycle: A comprehensive dataset of synchronized impedance cardiography and echocardiography for accurate hemodynamic predictions · PPG, ECG
- iBVP · PPG, Video
- ICBHI 2017 Respiratory Sound Database · used by 1 record · Audio
- IoMT-SecAlarmBench (semi-synthetic ECG+PPG attack benchmark) · PPG, ECG
- LGI-PPGI · PPG, Video
- Loneliness-FI · PPG, IMU
- Long-Term AF Database (LTAFDB, PhysioNet) · used by 1 record · ECG
- Luna/GRINS: hd-EEG walkthrough data (20 healthy controls) (NSRR) · EEG, EOG
- M3PD · PPG, Video
- MGMCET-FMCI-PBF · PPG, ECG
- MIMIC-III-Ext-CA · PPG, ECG
- MIT-BIH Arrhythmia Database (PhysioNet) · used by 1 record · ECG
- MIT-BIH Atrial Fibrillation Database (PhysioNet) · used by 1 record · ECG
- MIT-BIH Supraventricular Arrhythmia Database (PhysioNet) · used by 1 record · ECG
- MMSE-HR · PPG, Video
- MPSC-RR · used by 1 record · Video
- PAAWS R1 · used by 1 record · IMU
- PhysioNet/CinC Challenge 2017: AF classification from a short single-lead ECG (AliveCor) · used by 1 record · ECG
- PM-EKF energy expenditure · IMU, ECG
- PPG-BGL Smartwatch (Bhatia & Ekbote 2026 / Zenodo 20577959) · PPG, Glucose
- PPG-Signal-Dataset (USC Cali) · used by 1 record · PPG
- PSGWatch · used by 1 record · IMU
- PSU Sternberg EEG-ECG · ECG, EEG
- Pulse Wave Database (PWDB) · PPG, BP
- Real-World PPG Dataset (Siam et al. / Mendeley) · used by 1 record · PPG
- REALDISP · used by 1 record · IMU
- RecGym · used by 1 record · IMU
- RELAX six-week longitudinal occupational stress dataset (Polar Verity Sense IBI + ACC, 31 working adults, Salzburg) · IMU, HRV
- Respiratory and Pulse Oximetry Waveforms from Healthy Adults During Simulated Apnoea Events · PPG, Resp
- Rice iPPG dataset (HRVCam) · PPG, Video
- SensorCaps · used by 1 record · IMU
- SHDB-AF · used by 1 record · ECG
- Sleep Health Data Commons (SHDC v1.0.0, BDSP) · EEG, PSG
- Smartwatch PPG paired with CGM glucose (Zenodo) · PPG, Glucose
- STU-BA PPG Blood Glucose Dataset (Zenodo) · PPG, IMU
- TAAR1 partial agonism mouse EEG/EMG (SRI) (NSRR) · used by 1 record · EEG
- ToLife · PPG, ECG
- VIPL-HR-V2 · PPG, Video
- VitalDB Arrhythmia · used by 1 record · ECG
- VSB Ostrava 60-GHz FMCW radar raw recordings with SOMNOtouch finger-PPG reference (41 recordings, 3 participants) · PPG, HR
- VTT-ConIoT · used by 1 record · IMU
- wavecouple benchmark: 240 synthetic coupled ECG-PLETH pairs with known coupling ground truth (Zenodo, CC BY 4.0) · PPG, ECG
- WHARF · used by 1 record · IMU
- Yunnan dual-wavelength PPG + ECG + pressure pulse wave (102 subj, 1000 Hz) · PPG, ECG
- ZCHSound · used by 1 record · Audio
- AFPDB · ECG
- Airwave Health Monitoring Study · PPG
- ALAMEDA · IMU
- AssemblyHAR · IMU
- BandX-Activity · IMU
- CeTI-Age-Kinematics · IMU
- CLBP-400 · PPG
- Clemson Pedometer Evaluation dataset · IMU
- Daphnet Freezing of Gait · IMU
- DaRA · IMU
- DeepVerify · Video
- ECG-capable smartwatches (PhysioNet) · ECG
- ECG-ID Database (PhysioNet ecgiddb; lead-I ECG biometrics, 90 people, 310 records) · ECG
- EESM19 · IMU
- EVIORA-HAR · IMU
- FaceVitals (IEEE ICASSP 2027 SP Cup) · Video
- FallTL · IMU
- FDA OSEL wearables-for-gait · IMU
- FFCWS: Future of Families and Child Wellbeing Study, Year-15 sleep actigraphy (NSRR) · IMU
- GAITEX · IMU
- Golf putting full-body inertial motion capture (Perception Neuron, 60 Hz) with launch monitor, 20 players x 10 putts · IMU
- HAR-CoT · IMU
- HAR70+ · IMU
- HSBP-DB · Audio
- InclusiveHAR (DisabledHAR) · IMU
- Infrared-BP · PPG
- IPqM-Fall · IMU
- IRIDIA-AF · ECG
- iSPL IMU-Stretch · IMU
- Kingston ICU AF · ECG
- LARa v03 · IMU
- Lown 2020 Polar H7 · HRV
- MAIBO · PPG
- Mecp2ZZ: sleep phenotyping in a Rett syndrome mouse model (NSRR) · EEG
- MedalCare-XL · ECG
- Medina 2022: Shank3 autism mouse model juvenile sleep (NSRR) · EEG
- MIMIC-IV-Ext-ECG-Glucose: Temporally Aligned 12-Lead ECG and Laboratory Blood Glucose Pairs with Quality and Pharmacological Annotations · ECG
- MIT-BIH Normal Sinus Rhythm Database (PhysioNet) · ECG
- Mobilise-D Technical Validation Study (TVS) dataset · IMU
- MPMRD · HR
- Muse 2 forehead PPG vs Polar H10 concurrent validity (HR / ultra-short RMSSD) · PPG
- NFI_FARED · IMU
- NOP-NHP: NOP agonists in non-human primates (EEG/EMG) (NSRR) · EEG
- OYA: One Year of Actigraphy (single 62-y male, MotionWatch8) (NSRR) · IMU
- ParkinSenseDB · IMU
- Photoplethysmography Device Data (Appel & Theart / Mendeley) · PPG
- PI-ME/CFS: Post-infectious ME/CFS deep phenotyping (NIH) (NSRR) · PSG
- PPG Signals for Blood Glucose Measurement (Kermani / Mendeley) · PPG
- Real-Life HAR (UDC) · IMU
- REST-ASMR PPG Dataset (Zenodo) · PPG
- SensHAR · IMU
- Shank3ZZ: sex-specific sleep in Shank3 mouse model (NSRR) · EEG
- Sicbaldi wrist PPG BP stratification · PPG
- SNAPSHOT: college students sleep, networks, affect (actigraphy + diaries) (NSRR) · IMU
- Soochow wristband HR + menstrual/ovulation records (Mendeley v58stpfcnm) · HR
- TAAR2-9 knockout mice EEG/EMG (SRI) (NSRR) · EEG
- TempID fertile-ground skin temperature + ovulation labels (Zenodo 20160611) · Temp
- Texatrode long-term ECG · ECG
- TriadSense: ear-worn (OpenEarable 2.0) + wrist IMU (Xsens DOT) sensing of group activity in 9 triads · IMU
- Triple-Wavelength PPG for Hemoglobin (Abuzairi / Mendeley) · PPG
- UCI Physical Therapy Exercises · IMU
- UMAFall · IMU
- Warehouse MoC+Sensor · IMU
- WatchMyHeart · ECG
- WHAMAP · IMU
- WIMID · IMU
- Workers physiological signals during assembly tasks (AI-PRISM; ECG chest band + eye-tracking glasses + NASA-TLX, 4 operators on a real hood assembly line incl. human-robot collaboration; Zenodo CC BY 4.0) · ECG
- WUMOD: Washington University March of Dimes prematurity study (pregnancy actigraphy) (NSRR) · IMU
- Yoga4All · IMU
Signals 25
- PPG · Photoplethysmography · 831 records · view in the graph
- IMU · Inertial motion (accelerometer, gyroscope) · 420 records · view in the graph
- ECG · Electrocardiography · 399 records · view in the graph
- EEG · Electroencephalography · 126 records · view in the graph
- Resp · Respiration · 111 records · view in the graph
- EDA · Electrodermal activity · 100 records · view in the graph
- Temp · Skin temperature · 96 records · view in the graph
- SpO₂ · Blood oxygen saturation · 77 records · view in the graph
- HR · Heart rate · 71 records · view in the graph
- BP · Blood pressure · 54 records · view in the graph
- Video · Video · 47 records · view in the graph
- Text · Text and language · 37 records · view in the graph
- PSG · Polysomnography · 36 records · view in the graph
- EOG · Electrooculography · 33 records · view in the graph
- EMG · Electromyography · 23 records · view in the graph
- Glucose · Glucose (CGM) · 22 records · view in the graph
- HRV · Heart rate variability / inter-beat intervals · 21 records · view in the graph
- Activity · Activity summaries (steps, workouts) · 17 records · view in the graph
- Audio · Audio · 16 records · view in the graph
- rPPG · Remote photoplethysmography · 15 records · view in the graph
- BCG · Ballistocardiography · 8 records · view in the graph
- Barometer · Barometric pressure / altimeter · 7 records · view in the graph
- Bioimpedance · Bioimpedance (BioZ, ICG, IPG) · 7 records · view in the graph
- EHR · Electronic health records and labs · 7 records · view in the graph
- PCG · Phonocardiography · 5 records · view in the graph
Organizations 63
- Google · 42 authors
- Peking University · 16 authors
- Zhejiang University · 16 authors
- Emory University · 13 authors
- University of Oxford · 13 authors
- University of Rochester Medical Center · 13 authors
- Duke University · 11 authors
- Stanford University · 11 authors
- University of Tabuk · 8 authors
- Massachusetts Institute of Technology · 7 authors
- Rutgers University · 7 authors
- Dartmouth College · 6 authors
- University of Brescia · 6 authors
- Chinese Academy of Medical Sciences · 5 authors
- Fuwai Hospital · 5 authors
- German Research Center for Artificial Intelligence · 5 authors
- Peking Union Medical College · 5 authors
- RPTU Kaiserslautern-Landau · 5 authors
- JD Logistics · 4 authors
- Mayo Clinic · 4 authors
- Nanyang Technological University · 4 authors
- Technical University of Denmark · 4 authors
- Aktiia · 3 authors
- Imperial College London · 3 authors
- Lausanne University Hospital · 3 authors
- Northwestern Polytechnical University · 3 authors
- University of Illinois Urbana-Champaign · 3 authors
- University of Maribor · 3 authors
- University of Melbourne · 3 authors
- University of Memphis · 3 authors
- Xiaomi · 3 authors
- Georgia Institute of Technology · 2 authors
- Guangdong Transtek Medical Electronics · 2 authors
- Technion Institute of Technology · 2 authors
- University Clinical Centre Maribor · 2 authors
- University of California, Berkeley · 2 authors
- University of Cambridge · 2 authors
- University of Oldenburg · 2 authors
- University of Washington · 2 authors
- Aionic Labs · 1 authors
- Alibaba Group · 1 authors
- China Ship Scientific Research Center · 1 authors
- Eindhoven University of Technology · 1 authors
- Emerald Innovations · 1 authors
- ETH Zurich · 1 authors
- Harbin Engineering University · 1 authors
- Harvard Medical School · 1 authors
- Heart Voice Medical Technology · 1 authors
- Huzhou Central Hospital · 1 authors
- Icahn School of Medicine at Mount Sinai · 1 authors
- LSU Health Sciences Center New Orleans · 1 authors
- Massachusetts General Hospital · 1 authors
- National Health Commission of China · 1 authors
- National Research Center for the Working Environment · 1 authors
- Northwestern University · 1 authors
- Pázmány Péter Catholic University · 1 authors
- Quzhou People’s Hospital · 1 authors
- Rigshospitalet · 1 authors
- University College London · 1 authors
- University of Auckland · 1 authors
- University of Texas at Dallas · 1 authors
- Uppsala University · 1 authors
- Yale School of Medicine · 1 authors
Papers 855
- SensorFM: Toward a General Intelligence and Interface for Wearable Health Data · 2026 · model: SensorFM (Google)
- LSM-2: Learning from Incomplete Wearable Sensor Data · 2025 · model: Google LSM-2 / AIM
- SensorLM: Learning the Language of Wearable Sensors · 2025 · model: OpenTSLM, SensorLM
- Learning transferable human physiology from two million hours of sleep with SleepFM-2 · 2026 · model: SleepFM-2
- PulseLM: A Foundation Dataset and Benchmark for PPG-Text Learning · 2026 · model: PaPaGei-S, PulseLM
- PPG-Bench: A Unified Benchmark for PPG Foundation Models · 2026 · model: PaPaGei-S, AnyPPG and 6 more
- Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis · 2026 · model: PaPaGei-S, AnyPPG and 6 more
- TF-MambaNet: A Temporal and Frequency Fused Bidirectional Mamba Architecture for PPG Foundation Model · 2026 · model: PaPaGei-S, AnyPPG and 6 more
- AnyPPG: An ECG-Guided PPG Foundation Model Trained on Over 100,000 Hours of Recordings for Holistic Health Profiling · 2026 · model: AnyPPG
- Insulin Resistance Prediction from Wearables and Routine Blood Biomarkers · 2026 · model: SensorLM
- OpenMHC: Accelerating the Science of Wearable Foundation Models · 2026
- Scaling Wearable Foundation Models (LSM) · 2024 · model: Google LSM
- xMAE: Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning · 2026 · model: xMAE
- CardioNets: ECG-CMR Cross-Modal Foundation Model · 2026
- Passive Heart-Rate Monitoring During Smartphone Use in Everyday Life · 2026
- GPT-PPG: a GPT-based foundation model for photoplethysmography signals · 2025 · model: PaPaGei-S, AnyPPG and 5 more
- Monitoring Gait at Home with Radio Waves in Parkinson's Disease: a Marker of Severity, Progression, and Medication Response · 2022
- Unlocking the Specialization Capability of PPG Foundation Models for Wearable Signals through Structured Pruning and Adaptive Fine-Tuning (SPAFT) · 2026 · model: PaPaGei-S, AnyPPG and 5 more
- Artificial Intelligence-Enabled Detection and Assessment of Parkinson's Disease using Nocturnal Breathing Signals · 2022
- Predicting cardiovascular disease risk using photoplethysmography and deep learning · 2024
- GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring · 2026 · model: GlucoFM
- Next Token Prediction for Generalizable Human Activity Recognition (NextHAR; CIKM 2026) · 2026 · model: NextHAR
- A Guideline-Grounded Multi-Agent Framework for Personalized Exercise Prescription from Clinical and Wearable Data (FITTER; arXiv 2611.03983) · 2026 · model: FITTER
- A Unified Flexible Large Polysomnography Model for Sleep Staging and Downstream Clinical Screening (LPSGM) · 2024
- DNA-PPG: A Foundation Model for Photoplethysmography via Dual Neighborhood Alignment · 2026 · model: DNA-PPG
- Self-supervised learning for human activity recognition using 700,000 person-days of wearable data · 2024 · model: HARNet / OxWearables SSL
- SleepLM: Natural-Language Intelligence for Human Sleep · 2026 · model: SleepLM
- Structured Trajectory Supervision for Reliable Physiological Time-Series Regression (PPI-Net) · 2026 · model: PaPaGei-S, AnyPPG and 5 more
- TimeCap: A Scalable Open-Source Pipeline for Captioning Wearable Health Time-Series Data · 2026 · model: OpenTSLM
- AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild · 2026 · model: AnyMo
- CardioFM: A Multimodal Foundation Model for Joint ECG and PPG Representation Learning · model: CardioFM
- CSFM: Cardiac Signal Foundation Model · 2026 · model: CSFM (Cardiac Signal FM)
- Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations · 2026 · model: LuminaECG
- ECGFounder: An ECG Foundation Model Built on 10+ Million Recordings · 2024 · model: ECGFounder
- HEARTS: Benchmarking LLM Reasoning on Health Time Series · 2026
- Inertia-1: An Open Exploration of Wearable Motion Foundation Models · 2026 · model: Inertia-1
- OSF: On Pre-training and Scaling of Sleep Foundation Models · 2026 · model: OSF (Open Sleep Foundation Models)
- SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals · 2024 · model: SleepFM-2, SleepFM (v1)
- SLIP: Learning Transferable Sensor Models via Language-Informed Pretraining · 2026 · model: SLIP (Sensor Language-Informed Pretraining; any-channel sensor-language FM)
- ZARA: Training-Free Motion Time-Series Reasoning via Evidence-Grounded LLM Agents · 2025
- A Comprehensive Review of Biosignal Foundation Models · 2026 · model: NeuroRVQ (PPG tokenizer)
- AnySleep: a channel-agnostic deep learning system for high-resolution sleep staging in multi-center cohorts · 2026 · model: AnySleep (FH Aachen; channel-agnostic EEG/EOG sleep stager, npj Digit Med 2026)
- Artificial Intelligence–Enhanced Electrocardiography Identifies Patients With Normal Ejection Fraction at Risk of Worse Outcomes · 2024
- Bio-PM: Bio-Inspired Self-Supervised Learning for Wrist-worn Accelerometer Data · 2026 · model: Bio-PM
- FOUND-AF: Benchmarking ECG Foundation Models for Atrial Fibrillation Detection · 2026
- NormWear: Toward Foundation Model for Multivariate Wearable Sensing of Physiological Signals · 2024 · model: NormWear-2, NormWear
- SleepMaMi: A Universal Sleep Foundation Model for Integrating Macro- and Micro-structures · 2026 · model: SleepMaMi (SNU; macro+micro PSG sleep foundation model, ICML 2026)
- Toward World Modeling of Physiological Signals with Chaos-Theoretic Balancing and Latent Dynamics · 2026 · model: NormWear-2, NormWear
- VitalAgent: A Tool-Augmented Agent for Reactive and Proactive Physiological Monitoring over Wearable Health Data · 2026 · model: VitalAgent
- A robust PPG foundation model using multimodal physiological supervision · 2026 · model: Geenjaar multimodal-supervision PPG FM
- Apnea Burden-Guided Framework: Enhancing Out-of-Distribution Generalization in PPG-Based Sleep Apnea Characterization · 2026
- CardioState-JEPA: Delay-Aware Cross-Modal Learning of a Shared Cardiac Representation · 2026 · model: CardioState-JEPA
- PaPaGei: Open Foundation Models for Optical Physiological Signals · 2024 · model: PaPaGei-S
- PPG Heart Age via ECG-Guided Cross-Modal Pretraining (arXiv:2608.01620) · 2026
- Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings · 2025 · model: Pulse-PPG
- RelCon: Relative Contrastive Learning for a Motion Foundation Model · 2024 · model: RelCon
- RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data · 2024 · model: RelCon
- Sensor-Language-Action Models (OpenSLA) · 2026 · model: OpenSLA
- SimAuthor: Harnessing Foundation Models for Persistent Scientific Simulator Authoring · 2026 · model: PaPaGei-S
- SimPer: Simple Self-Supervised Learning of Periodic Targets · 2022
- Variable Input Masked Autoencoders for Wrist-Worn Accelerometry (VarMAE) · 2026 · model: VarMAE
- Accurate and Auditable ECG Classification via Visibility Graph Neural Networks (LYNX-ECG) · 2026 · model: LYNX-ECG
- Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions (WBM) · 2025 · model: Apple WBM (Wearable Behavioral Model)
- CHARM: cycle-phase supervision for a wearable foundation model of women's health (Terra API; Research Square 2026) · 2026 · model: CHARM
- CHEAR: Confusion-Hierarchy Evidence-Aware Reasoning for Cost-Efficient Human Activity Recognition · 2026
- ECGJev: Question-Conditioned Option Scoring for 12-Lead ECG Interpretation (arXiv 2611.02041) · 2026 · model: ECGJev
- Foundation Models Defining A New Era In Sensor-based HAR — survey review · 2026
- IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and Text · 2022 · model: IMU2CLIP
- OntoAR-HAR: Ontology-Guided Agentic RAG with Personalized Memory for Human Activity Recognition · 2026
- RAE-PPG: Duration-Grounded Retain-and-Extend Pretraining for PPG Foundation Models · 2026 · model: RAE-PPG
- ReliaGate: Reliability Routing for Low-Stakes Wearable Stress Prediction · 2026
- Signal or Noise? Understanding Generative Models for Real-World Sensor Time Series (SensorGen) · 2026
- A Deep Sparse Capsule Network for Non-Invasive Blood Glucose Level Estimation Using a PPG Sensor · 2025
- CHORD: Multi-resolution Compression for Multimodal Time Series · 2026
- CogAdapt: Adapting Clinical ECG Foundation Models for Wearable Cognitive Load Assessment · 2026 · model: CogAdapt
- Cross-Modal Correlation Fusion for End-to-End ECG–PPG Stress Classification · 2026 · model: PaPaGei-S, Pulse-PPG and 1 more
- Dual foundation models for accelerometry predict future health · 2026
- End-to-end Automated Deep Neural Network Optimization for PPG-based Blood Pressure Estimation on Wearables · 2026
- Foundation Model Artificial Intelligence for Electrocardiogram Detection of Rheumatic Mitral Stenosis · 2026 · model: ECG-FM
- Foundation Models Defining a New Era in Human Activity Recognition: A Survey and Outlook
- Inertia-1: Open Exploration of Wearable Motion Foundation Models · 2026 · model: Inertia-1
- Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables · 2024
- ppg-dl-scoping-review-nie-2024 · 2024
- Source-Learned Reliance for Selective Test-Time Adaptation of Multimodal Time Series (CARAT) · 2026
- ActiNet: an open-source tool for activity intensity classification of wrist-worn accelerometry using self-supervised deep learning · 2026 · model: HARNet / OxWearables SSL, ActiNet (OxWearables activity-intensity classifier)
- Beat-Synchronous Tokenization for ECG Transformers · 2026 · model: Beat-synchronous ECG tokenizers (UMN, IEEE MLSP 2026)
- Beyond Simulated Benchmarks: Evaluating Motion Representations for Fall Detection Under Real-World Data Scarcity · 2026
- Calibrated photoplethysmography-derived heart rate variability approximates electrocardiographic gold-standard performance for stress-state classification · 2026 · model: PaPaGei-S, Pulse-PPG and 1 more
- CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition · 2024
- CAPTURE-24: Free-Living Wrist Accelerometer Dataset · 2024
- ECG-FM: An Open Electrocardiogram Foundation Model · 2024 · model: CogAdapt, ECG-FM
- GlucoAgent: Personalized Glucose Forecasting from Multimodal Personal Context (Meta Reality Labs; arXiv 2611.04126) · 2026 · model: GlucoAgent
- Large-scale Training of Foundation Models for Wearable Biosignals · 2023 · model: Apple wearable biosignals FM
- LIMU-BERT: Unleashing the Potential of Unlabeled Data for IMU Sensing Applications · 2021 · model: LIMU-BERT
- PocketTSLM: Deploying an On-Device Soft-Prompt Time-Series Language Model for Privacy-Preserving Smartphone Reasoning · 2026 · model: OpenTSLM
- Quality-Aware Wrist Photoplethysmography for Subject Independent Stress-State Monitoring: ECG-Referenced Validation and Selective Prediction · 2026 · model: PaPaGei-S, Pulse-PPG and 1 more
- REFIT: Recognize, Fix, and Test Wearable Sensor Placement Shifts without Labels · 2026
- Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks · 2026
- SiamQuality: A ConvNet-Based Foundation Model for Imperfect Physiological Signals · 2024 · model: SiamQuality
- Training and Scaling Compute-Optimal Physiological Waveform Foundation Models · 2026 · model: NormWear-2, NormWear and 2 more
- UniMTS: Unified Pre-training for Motion Time Series · 2024 · model: UniMTS
- A Foundation Model for Wearable Movement Data in Mental Health Research (PAT) · 2026 · model: PAT (Pretrained Actigraphy Transformer)
- Continuous-Latent Predictive Modeling with Semantic Alignment for EEG-Language Foundation Models · 2026 · model: BLPM (Brain Latent Predictive Model)
- ECG-JEPA: Learning General Representation of 12-Lead ECG with a Joint-Embedding Predictive Architecture · 2027 · model: ECG-JEPA (Samsung Medical Center; 12-lead ECG JEPA)
- Effect of Photoplethysmogram Artifacts on Uncertainty in Atrial Fibrillation Detection · 2026
- Evaluating Sources of Diversity in Text-Driven IMU Synthesis for Wearable Human Activity Recognition · 2026 · model: IMUGPT, Text2IMU and 2 more
- GaitFM: A Cross-Modal Foundation Model for Wearable Gait Assessment (Cai & Hong; arXiv 2611.01684) · 2026 · model: GaitFM
- HuBERT-ECG: A Self-Supervised Foundation Model for Broad and Scalable Cardiac Applications · 2024 · model: HuBERT-ECG
- IMUDINO: Self-distilled Foundation Model for Inertial Sensing · 2026 · model: IMUDINO
- Lapras: Latent Reasoning for Time Series Language Models · 2026 · model: Lapras (latent-reasoning post-training for time-series language models)
- Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network · 2024
- PAT: Pretrained Actigraphy Transformer · 2026 · model: PAT (Pretrained Actigraphy Transformer)
- PulseDB: A large, cleaned dataset based on MIMIC-III and VitalDB for benchmarking cuff-less blood pressure estimation methods · 2023
- Single-Beat Cuffless Blood Pressure Estimation Using Ear-PPG and ECG with a Lightweight Hybrid Learning Framework · 2026
- TimeNet: An Extensible Unified Data Infrastructure for Next-Generation Temporal Foundation Models · 2026 · model: OpenTSLM
- Vision4PPG: Emergent PPG Analysis Capability of Vision Foundation Models for Vital Signs like Blood Pressure · 2025 · model: Vision4PPG
- VSMP-IMU: Video-Grounded Semantic Motion Programs for Sensor-Aware Synthetic IMU Generation · 2026 · model: IMUGPT, Wonderwall
- Wearable Accelerometer Foundation Models for Health via Knowledge Distillation · 2024 · model: Apple accelerometer FM via PPG→ACC distillation
- Wrist PPG Stress Classification on WESAD: Interval Features Compared with Beat-Shape and Wavelet Features · 2026 · model: PaPaGei-S, Pulse-PPG and 1 more
- BenchECG and xECG: a benchmark and baseline for ECG foundation models (xLSTM) · 2026 · model: xECG
- Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation Model · 2026 · model: M2AE (Biosignal Fingerprinting)
- CAP: Towards PPG Universal Representation Learning with Patient-level Supervision · 2026 · model: CAP
- CLEF: Clinically-Guided Contrastive Learning for Electrocardiogram Foundation Models · 2025 · model: CLEF
- Deep learning for obstructive sleep apnea diagnosis based on single channel oximetry · 2023
- FemWear: A Parameter-Efficient Wearable Foundation Model for Women's Health · 2026 · model: FemWear
- Hilo (formerly Aktiia) / CSEM oBPM — cuffless wrist BP from green PPG pulse-wave analysis · 2021
- LLaSA: A Sensor-Aware LLM for Natural Language Reasoning of Human Activity from IMU Data · 2025
- MMAE-ECG: multi-scale masked autoencoder for ECG anomaly detection · 2026
- TRACE-TS: Attribution-Grounded and Traceable Sensor-Language Reasoning for Human Activity Understanding · 2026
- A foundation model of wearable pulse oximetry reveals physiological signatures of health and cardiometabolic risk (PulseOx-FM) · 2026 · model: PulseOx-FM
- A Scoping Review of Deep Learning Methods for Photoplethysmography Data · 2026
- AutoResearcHAR: A Multi-Agent Framework for Dataset Adaptive IMU Based Human Activity Recognition · 2026
- Beyond Latent Personalization: Integrating HRV-Conditioned Personalization via LLM for Interpretable Stress Detection · 2026
- Blood Pressure Estimation from PPG: A Comparative Study of Direct and ECG-Mediated Deep Learning Pipelines · 2026
- COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition · 2026
- Context-Augmented, Session-Calibrated Blood Pressure Tracking from Photoplethysmography · 2026
- Delving into Deep Imbalanced Regression · 2021
- Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches · 2021
- Finetuning and Quantization of EEG-Based Foundational BioSignal Models on ECG and PPG Data for Blood Pressure Estimation · 2025 · model: CEReBrO
- Generalizable deep learning for photoplethysmography-based blood pressure estimation — A benchmarking study · 2025
- HALO: A Heterogeneity-Aware Language-Aligned IMU Foundation Model for Open-Set Human Activity Recognition · 2026 · model: HALO
- LITEWAY: LIghtweight HAR via Temporal Efficient highWAY · 2026
- MIMIC-III-Ext-PPG: A PPG Benchmark Dataset for Cardiorespiratory Analysis · 2026
- MorphSSF: a fast slope-sum adaptive-period dilation algorithm for photoplethysmography beat detection · 2026
- MS-ECG-FM: Towards a More Universal Electrocardiogram Foundation Model for Health Monitoring using Multi-source Contrastive Learning · 2026 · model: MS-ECG-FM
- OmniIMU-Bench: Benchmarking Wrist IMU Representations Across Kinematic, Semantic and Clinical Tasks · 2026 · model: InrtlWrist
- Physical activities enable scalable foundation modelling for broad-spectrum health prediction (StepFM) · 2026 · model: StepFM
- Physically-Constrained Harmonic Separation (PCHS) for Robust HR/RR from Wrist PPG · 2026
- ProtoMM: Shared Prototypes for a Multimodal Pulse-Motion Foundation Model · 2025 · model: ProtoMM (Pulse-Motion)
- Reassessing the Feasibility of PPG-Based Non-Invasive Blood Glucose Level Estimation · 2026
- Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection · 2026
- A multimodal drowsiness dataset using video, biometric, and behavioral data · 2026
- Addressing Wearable Sleep Tracking Inequity: A New Dataset and Novel Methods for a Population with Sleep Disorders · 2024
- BeatFlow-ECG: Rectified Flow for ECG Reconstruction from Indirect Wearable Signals · 2026
- BODYinTRANSIT-Lab: A Multimodal Dataset for Investigating Sensory-Driven Transformations in Body Perception and Affective Experiences · 2026
- CITRUS: Candidate Inference, Temporal Decoding, and Reliability-Gated Reporting for Wearable Devices · 2026
- Cuff-less blood pressure monitoring via PPG signals using a hybrid CNN-BiLSTM deep learning model with attention mechanism · 2025
- Deep CNN-based detection of cardiac rhythm disorders using PPG signals from wearable devices · 2025
- Dense temporal sleep apnea profiling from single-channel PPG with downstream AHI estimation: a large-scale retrospective feasibility study · 2026
- ECG Mortality/SCD Prediction with Generative Explainability · 2026
- Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques · 2020 · model: TEX-MEX
- FairTune: A Bias-Aware Fine-Tuning Framework Towards Fair Heart Rate Prediction from PPG · 2025 · model: GPT-PPG, FairTune
- GalaxyPPG — PPG dataset in semi-naturalistic settings (Scientific Data 2025) · 2025
- Global Time-Aware Conditioning (GTC): A Mechanism for Time-Aware Pediatric Sleep Representation Learning · 2026
- GlucoPRISM: Protocol-Supervised Pretraining for Cross-Cohort Glucose Transfer · 2026 · model: GlucoPRISM (protocol-supervised CGM encoder; Trait/State/Sensor bands)
- IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition · 2024 · model: IMUGPT
- MorphCL: Morphological Contrastive Learning for Inertial-based Human Activity Recognition · 2026
- Multi-Modal Wearable and Biological Data Integration Reveals Physiological Signatures of Weight Variation in Overweight and Obese Adults: An AI4Food Machine Learning Study · 2026
- On Sleep-Wake Disorder Identification from Polysomnographic Representations · 2026
- Oura ring measures associated with next-day panic attacks differ across mental-health diagnoses (Kairamkonda … R. McGinnis; Front Digit Health 2026, LEMURS) · 2026
- Patient-specific conformal calibration for arrhythmia monitoring: contamination, reviewer dependence and distribution shift · 2026
- Personalized Calibration and Hybrid Feature Fusion for Continuous Blood Pressure Estimation Using PPG and ECG Signals · 2026
- Personalized ML models for predicting panic attacks from Oura ring data in college students (Kairamkonda … R. McGinnis; Front Digit Health 2026, LEMURS) · 2026
- Personalized stress detection from wearable physiological signals via Digital Twin-inspired subject embeddings and recurrent neural networks · 2026
- Position: Beyond Prediction: Toward Verifiable Physiological Waveform Reasoning with Foundation Models and Agentic LLMs · 2026 · model: GPT-PPG, PG-LRF
- PPG fiducial choice and the incremental value of heart rate for pulse timing prediction (analysis software v0.2.0) · 2026
- PPG-Distill: Efficient Photoplethysmography Signals Analysis via Foundation Model Distillation · 2025 · model: GPT-PPG, PPG-Distill
- QECGBERT: a scalable ECG foundation model based on self-supervised language learning via VQ-VAE waveform tokenization · 2026
- Real-world user interactions with large language models for explaining home electrocardiogram reports · 2026
- Teaching PPG How not Who: Fixed-Effects Distillation from ECG · 2026
- Text2IMU: Advancing Human Activity Recognition by Text-Driven IMU Data Synthesis · 2025 · model: Text2IMU
- The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning · 2026
- The Metrology Atlas: describing recorded physiological data as a measurement system, with VitalDB as a first application · 2026
- WatchSleepNet: A Novel Model and Pretraining Approach for Advancing Sleep Staging with Smartwatches
- wav2sleep: A Unified Multi-Modal Approach to Sleep Stage Classification from Physiological Signals · 2024
- When2What: A Timing-Conditioned Framework for Long-Horizon Forecasting of Continuous Cardiovascular Waveforms · 2026
- A Deep Generative Model for Five-Class Sleep Staging with Arbitrary Sensor Input · 2025
- AF triggers in week-long ECG+wrist PPG (relational strength) — Pluščiauskaitė 2024 · 2024
- Agentic AI-enabled discovery across large-scale sleep physiology (AI Sleep Co-Scientist) · 2026
- An ecological approach to clinically assess nightmares in military service members with severe PTSD · 2023
- Artificial Intelligence Applied to Electrocardiograms Recorded in Sinus Rhythm for Detection and Prediction of Atrial Fibrillation: A Scoping Review · 2025
- Beyond average accuracy: motion-related failure patterns in wrist PPG heart-rate monitoring (Xu, Theor. Nat. Sci. 2026) · 2026
- Calibration-Based Cuffless Blood Pressure Estimation Using a Dilated-Residual Attention U-Net · 2026
- Coverage-Aware Virtual IMU Augmentation for Low-Resource Human Activity Recognition · 2026
- Cross-subject PPG-to-ECG reconstruction: open-data benchmark, model weights and notebook (OSF) · 2026
- Cuffless Blood Pressure Estimation from Six Wearable Sensor Modalities in Multi-Motion-State Scenarios · 2025
- Deep Generative Models for Physiological Signals: A Systematic Literature Review · 2025
- Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review · 2022
- Driving-Context Classification from Wearable Physiological and Motion Signals During Real-World Driving · 2026
- Dynamic Beat-to-Beat Measurements of Blood Pressure Using Multimodal Physiological Signals and a Hybrid CNN-LSTM Model · 2025
- EgoHRV: Continuous Heart Rate Variability Estimation from Egocentric Systems for Autonomic Response and Skill Assessment · 2026
- Evaluation-Protocol Leakage in Cuffless Blood Pressure Estimation from PPG (code + results repository) · 2026
- ExpertoRhythm: Morphology-Aware Learning for Waveform Reconstruction and Cuffless Blood Pressure Estimation from Single-Channel PPG · 2026
- FIRMED: A Peak-Centered Multimodal Dataset with Fine-Grained Annotation for Emotion Recognition (Tang et al., ACM MM 2026) · 2026
- Foundation models for movement data: Are they ready for prime-time? · 2026
- HiPPT: Physiology-Grounded Wearable PPG Representation Learning via Multi-Scope Text Alignment · 2026 · model: HiPPT
- IMUdrape: Generating Garment-Mounted Virtual IMU Data from Text through Physics-Based Cloth Simulation (Leng & Plötz; arXiv 2611.02393) · 2026 · model: IMUdrape
- In-home sleep monitoring to detect suicide risk in veterans (NCT04744740) · 2020
- JETS: A Self-Supervised Joint Embedding Time Series Foundation Model for Behavioral Data in Healthcare · 2025 · model: JETS (Empirical Health; joint-embedding FM for irregular behavioural wearable time series)
- Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches · 2026
- Mamba-based Deep Learning Approach for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography · 2026
- MoWaveQFormer: A Motion-Conditioned Quality-Gated Transformer for Smartphone-Based PPG Heart Rate Estimation · 2026
- Non-invasive wearables for remote monitoring of HbA1c and glucose variability: proof of concept · 2021
- OpenZilo: An Open Smart-Ring Platform for Human-Centric Sensing and Interaction with Robots · 2026
- Opportunistically Detecting Signs of Hypertension on a Consumer Smartwatch (AI-PPG-ACC-HTN; Di Achille, Poh et al., Nature 2026) · 2026 · model: AI-PPG-ACC-HTN (Google Waveform Encoder + HTN probe)
- Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Signal · 2026
- PG-LRF: Physiology-Guided Latent Rectified Flow for Electro-Hemodynamic PPG-to-ECG Generation · 2026 · model: GPT-PPG, PG-LRF
- Physiological markers of trauma-related nightmares among military personnel suffering from PTSD: A multicenter home-recording study · 2026
- PPG-LM: A Photoplethysmography–Language Model with Multi-Level Clinical Alignment · 2026 · model: PPG-LM
- Predicting aggression to others in youth with autism using a wearable biosensor · 2019
- Predicting behavioral escalation in students with autism using physiological and movement data · 2026
- pyPPG: A Wearable PPG Analysis Toolbox · 2024
- Reliability-Evidence Fusion for Selective Heart-Rate Estimation from Wearable PPG: A Transformation-Aware Cross-Cohort Study · 2026
- Rethinking ECG Tokenization: A Unified Taxonomy and Clinically-Grounded ECG Foundation Model · 2026 · model: ECGTFormer (NYU Abu Dhabi; physiology-aware ECGTokenizer + causal V-JEPA ECG FM)
- Scaling ECG Foundation Models and Identifying a Threshold for Effective Representation Learning · 2026
- Sensor Modality Versus Pretraining for Recognising Bed-Exit–Relevant Postural Transitions: A Gyroscope-Focused Feasibility Study on Public Wearable-IMU Data · 2026 · model: UniMTS
- Sparse learned kernels for interpretable and efficient medical time series processing · 2024
- Spontaneous fluctuations in the peripheral photoplethysmographic waveform: roles of arterial pressure and muscle sympathetic nerve activity · 2012
- SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning · 2026 · model: SPOTR
- TinyArtifactNet: A Resource-Efficient Deep Learning Model for On-Device Motion Artifact Detection in PPG · 2026
- Towards fair and trustworthy heart rate estimation from wrist-worn PPG (MW-PPG-HR) · 2026
- Towards long-term sleep staging via wearable reflective photoplethysmography · 2025
- TransECG-SSL: hybrid self-supervised representation learning for ECG arrhythmia classification · 2026
- WavesFM: Hierarchical Representation Learning for Longitudinal Wearable Sensor Waveforms · 2026 · model: AI-PPG-ACC-HTN (Google Waveform Encoder + HTN probe), WavesFM
- Wearable Biosensing to Predict Imminent Aggressive Behavior in Psychiatric Inpatient Youths With Autism · 2023
- Wearable devices for anxiety assessment: a systematic review (Elgendi, Markov, Liu, De Vos … Menon; Commun Med 2026) · 2026
- WildPPG: A Real-World PPG Dataset of Long Continuous Recordings · 2024
- A Deep Learning approach for estimating Time-Domain Heart Rate Variability parameters from wrist photoplethysmography during daily activity · 2026
- A hybrid neural deep belief networks-gated recurrent unit algorithm with a leakage-aware evaluation protocol for ECG-HRV-based cognitive load classification · 2026
- A Multidimensional Data-Driven Hybrid Transformer Framework for Non-invasive Continuous Blood Pressure Prediction · 2026
- Adding accelerometry raises task-conditioned recoverability in wearable photoplethysmography · 2026
- An open-source deep learning model for classifying real-world activity intensities in persons with chronic pain using a wrist-worn accelerometer · 2026 · model: GRIP activity-intensity models (wrist ACC, chronic pain)
- Apparent predictive value of single-session smartwatch biosignals for depressive symptom severity depends on validation design: analysis code (Zenodo 2026) · 2026
- Attractor-Vascular Coupling Theory: Formal Grounding and Empirical Validation for AAMI-Standard Cuffless Blood Pressure Estimation from Smartphone Photoplethysmography · 2026
- Baseline normalization choices inflate classification performance in wearable health monitoring (Tognotti, Otesteanu, Anceschi, Menon; Front Digit Health 2026) · 2026
- Between- and Within-Person Coupling of Nocturnal Heart Rate and Glucose: Retrospective, Real-World Observational Study of 105,196 Nights From 2648 Adults Using Ultrahuman Ring and Continuous Glucose Monitoring · 2026
- Beyond Performance Reporting: subject-wise evaluation of fiducial quality and demographic effects on handcrafted PPG features for cuffless BP (PulseDB) · 2026
- BrainPro: Process-conditioned Pretraining with Topographic Retrieval for Large EEG Models · 2025 · model: BrainPro (NTU; process-conditioned, topographic-retrieval EEG FM)
- Characterizing the Performance Gap in Human Activity Recognition for Older Adults · 2026
- Conventional and novel hypoxemia-related indices for obstructive sleep apnea severity and incident hypertension: a prospective cohort study · 2026
- Criterion validity of Apple Watch 8, Galaxy Watch 5, Fitbit Charge 5 and Garmin Vivosmart 5 for HR and energy expenditure during resistance exercise (Yun, Ko, Lee; Bioengineering 2026) · 2026
- Cross-Dataset Transfer and Reliability of Explainable Artificial Intelligence for RhythmFormer Remote Photoplethysmography · 2026
- Cross-polarised temple photoplethysmography for motion-robust and equitable cardiovascular sensing in virtual reality · 2026
- Data Efficient Cuffless Blood Pressure Classification from PPG using Foundation Model Embeddings and Few-Shot Learning · 2026
- Daytime Sleep-Tracking Performance of Four Commercial Wearable Devices During Unrestricted Home Sleep · 2023
- Development and validation of an integrated wearable system for continuous cardiorespiratory monitoring using photoplethysmography and optical respiratory detection · 2026
- Development of an efficient deep learning model for arrhythmia detection from consumer smartwatches · 2026
- Deviation-Aware Pretraining for Cardiovascular Disease Detection from Electrocardiograms · 2026
- Diagnostic value of wearable and contactless technologies for detecting obstructive sleep apnea: a systematic review and meta-analysis · 2025
- ECG + respiration activation-state classification on WESAD with a hybrid multi-scale TCN-Conformer, 15-fold LOSO (Leonelli … Sanchez-Galan; Sensors 2026) · 2026
- ECG-InterpBench: Benchmarking Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders · 2026
- ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation · 2026
- EdgeHAR: An Edge-Native Compact Sensor Foundation Model for Human Activity Recognition · 2026 · model: EdgeHAR
- Energy-Efficient PPG-Based Respiratory Rate Estimation Using Spiking Neural Networks · 2024
- ESP32-S3 multimodal wearable with ECG-to-PPG PAT and cloud triage: engineering PoC (Torad et al., Sensors 2026) · 2026
- Event-preserving residual filtering with benefit-aware bypass for motion-corrupted photoplethysmography (PulseGuard) · 2026
- FedREPA: Relation-Enhanced Prototype Alignment for Heterogeneous Federated Human Activity Recognition · 2026
- FiLMamba: A FiLM-Conditioned Mamba Architecture with an Energy-Efficient FPGA Accelerator for Generalizable Cuffless Blood Pressure Estimation · 2026
- Generalist vs Specialist Time Series Foundation Models: Investigating Potential Emergent Behaviors in Assessing Human Health Using PPG Signals · 2025 · model: GPT-PPG
- Individual-level Public-Private Decoupling for Continuous Blood Pressure Waveform Prediction (IPPD) · 2026
- KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch · 2025
- Large-Scale Validation of a Dual Cross-Attention Network for Automated Sleep Staging Using Wearable Photoplethysmography Signals · 2026
- Lightweight Calibration-Based Blood Pressure Tracking from Photoplethysmography Features for Smart Devices: Accuracy, Model Size and Recalibration Interval · 2026
- Mixed Signals: Weight-Space Programming for EEG and ECG · 2026
- MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms · 2026
- Multi-sensor driver monitoring for drowsiness prediction · 2023
- Multimodal Self-Supervised Learning for Wearable Sleep Staging Using Photoplethysmography and Accelerometer Signals · 2026
- On-line anxiety level detection from biosignals: ML in a spider-fear RCT (Ihmig … Michael; PLoS One 2020) · 2020
- OPLR: Alleviating Normality Bias in PPG-to-ABP Reconstruction via Ordered Prototype Latent Refinement · 2026
- PACE-ECG: Patient-Aware Contrastive ECG Pretraining; Leveraging Longitudinal Structure for Transferable Representations · 2026
- Performance of multiple PPG-based measurements (BP, SpO2, HR) on Samsung Galaxy Watch4 across skin phototypes (da Silva et al., Zenodo 2026) · 2026
- PhysioSkeptic: Skeptical Reasoning Grounded in Signal Quality for Multimodal Rhythm Analysis · 2026
- PPG-based blood pressure estimation: a leakage-free reassessment (calibration degeneracy, trivial-baseline test, within-subject ΔBP) · 2025
- PPG-FusionNet: A Dual-Branch Neural Architecture for Cuffless Blood Pressure Estimation from Photoplethysmography · 2026
- Prediction of cardiovascular outcomes using electrocardiography from overnight polysomnography · 2026
- Pretraining on Sleep Data Improves non-Sleep Biosignal Tasks · 2026
- PRISM: Retrieval-Augmented Multimodal Language Model with Heterogeneous Evidence Integration for Clinical Prognosis · 2026
- PulseFlow: PPG Counterfactual Generation Via Latent Transport · 2026
- PulsePath: Two-Stage Generative Waveform Refinement for Robust Remote Photoplethysmography Estimation · 2026
- Readiness, recovery, and strain: an evaluation of composite health scores in consumer wearables · 2025
- Regional Risk Allocation for PPG-Based Blood Pressure Estimation under Shifting Evaluation Distributions · 2026
- Revealing Misclassification of Exercise Sessions in Wearable Stress Detection for Automated Insulin Delivery (code, segment index and pre-registered rules) · 2026
- Robust Cuffless Blood Pressure Estimation via PPG-Conditioned Diffusion and Contrastive Transformer Fusion · 2026
- Role of language-derived semantics in knowledge distillation on wearable sensor data (Biomimetics 2026) · 2026
- Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality · 2024
- Skin-tone-robust topological signal processing (Melanin Absorption Invariance) for optical pulse measurement (Oladunni & Adewumi, medRxiv 2026) · 2026
- SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography · 2023
- Speckle Plethysmograph-Based Blood Pressure Assessment · 2024
- The MSPTDfast photoplethysmography beat detection algorithm: design, benchmarking, and open-source distribution · 2025
- The role of dataset integrity, calibration and signal quality in neural network-based blood pressure estimation · 2026
- Towards continuous blood pressure monitoring using speckle plethysmography · 2024
- Transcutaneous cervical vagal nerve stimulation reduces sympathetic responses to stress in posttraumatic stress disorder: A double-blind, randomized, sham controlled trial · 2020
- Trustworthy Stress Detection from Wearable Sensor Signals for Preventive Anxiety Monitoring: Subject-Independent Accuracy and Calibrated Confidence with the Autonomic-Branch Quantum-Graph Network · 2026
- Wearable photoplethysmography enables scalable detection of obstructive sleep apnoea in a large population cohort (ERS 2026 late-breaking abstract) · 2026
- Wearable-based automated cardiac arrest detection and alerting: A systematic review · 2026
- When posture matters: Investigating cuffless BP estimation errors across postural changes · 2026
- Why Do VLMs Fail at Remote Physiological Measurement? Rethinking with Physiological Grounding and Numerical Alignment (VITAL) · 2026
- μDPad: A Large-Scale Multimodal PPG and IMU Dataset for Wrist-Worn Microgesture Recognition · 2026
- 40 years of actigraphy in sleep medicine and current state of the art algorithms · 2023
- A Bilateral In Vitro Model for Cardiovascular Disease Investigations Using Photoplethysmography Sensors · 2023
- A Comparative Study of Signal Representations Methods and Deep Learning Architectures for PPG-Based Cuffless Blood Pressure Estimation · 2026
- A computationally efficient algorithm for wearable sleep staging in clinical populations · 2023
- A cross-subject stress recognition method integrating bidirectional cross-modal multi-path fusion and adaptive adversarial learning (WESAD; in Chinese) · 2026
- A deep transfer learning approach for wearable sleep stage classification with photoplethysmography · 2021
- A Dual-Modal Wearable PPG Smartwatch with AI-Enhanced Correction for High-Accuracy and Continuous AF Burden Assessment · 2026
- A Dual-Output Physiology-Informed Neural Network Architecture for Continuous Cuffless Blood Pressure Waveform Estimation: A Proof-of-Concept · 2026
- A lightweight ECG model with teacher-derived integrated medical semantic preservation for cardiac disease screening (ECGFM-U-Lite) · 2027 · model: ECGFM-U-Lite (1D-MobileViT student distilled from a unified ECG FM)
- A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals · 2024
- A meta-learning method with reduced data requirements for training and updating deep learning models on wearable devices · 2026
- A Non-Invasive Optical Multimodal Photoplethysmography-Near Infrared Spectroscopy Sensor for Measuring Intracranial Pressure and Cerebral Oxygenation in Traumatic Brain Injury · 2023
- A novel non-invasive trans-reflectance photoplethysmographic probe for use in cases of low peripheral blood perfusion · 2009
- A Novel Photoplethysmography Sensor for Vital Signs Monitoring from the Human Trachea · 2019
- A performance validation of six commercial wrist-worn wearable sleep-tracking devices for sleep stage scoring compared to polysomnography · 2025
- A pilot clinical study to estimate intracranial pressure utilising cerebral photoplethysmograms in traumatic brain injury patients · 2024
- A Pilot Study of Neonatal and Pediatric Esophageal Pulse Oximetry · 2008
- A Pulsatile Optical Tissue Phantom for the Investigation of Light-Tissue Interaction in Reflectance Photoplethysmography · 2019
- A review of machine learning techniques in photoplethysmography for the non-invasive cuff-less measurement of blood pressure · 2020
- A review of the effect of skin pigmentation on pulse oximeter accuracy · 2023
- A smart watch crosses the threshold into clinical practice—or not quite yet? · 2026
- A system for investigating oesophageal photoplethysmographic signals in anaesthetised patients · 1999
- A Unified Inertial Encoder for Human and Humanoid Motion · 2026 · model: Unified Inertial Encoder (Amazon FAR)
- Accelerometry-Based and Gyroscope-Based Detection of Sleep Apnea Events: Systematic Review of Technical and Clinical Evidence · 2026
- Accelerometry-Based and Gyroscope-Based Detection of Sleep Apnea Events: Systematic Review of Technical and Clinical Evidence · 2026
- Accuracy of reflectance photoplethysmography on detecting cuff-induced vascular occlusions · 2015
- Accurate Cuffless Blood Pressure Estimation Using Conformer-Based PPG-to-ABP Waveform Reconstruction Framework · 2026
- Acquiring Wearable Photoplethysmography Data in Daily Life: The PPG Diary Pilot Study · 2020
- Agreement of consumer wearable pulse oximeters across activity conditions and skin pigmentation · 2026
- AI-Driven and Automated Systems for Continuous Oxygen Saturation Monitoring in Long-Term Oxygen Therapy: Systematic Review · 2026
- Ambulatory atrial fibrillation detection and quantification by wristworn AI device compared to standard holter monitoring · 2025
- An AI Co-Data-Scientist for Prioritizing Candidate Biomarkers from Wearable Sensor Data (CoDaS) · 2026
- An energy expenditure estimation method based on heart rate measurement (Firstbeat white paper) · 2007
- An In Vivo Investigation of Photoplethysmographic Signals and Preliminary Pulse Oximetry Estimation from the Bowel Using a New Fiberoptic Sensor · 2011
- An oesophageal pulse oximetry system utilising a fibre-optic probe · 2009
- Analysis of the Effect of Skin Pigmentation and Oxygen Saturation on Monte Carlo-Simulated Reflectance Photoplethysmography Signals · 2025
- Are You Performing, Anticipating, or Observing? Role-Aware Physiological Sensing in Group Interactions · 2026
- ARTA: Graph Combinatorial Optimization for Robust Interbeat Interval Estimation from Wearable Electrocardiogram Signals · 2026
- Arterial blood pressure waveform reconstruction estimation from PPG using TCN–BiLSTM · 2026
- Arterial stiffness assessment using PPG feature extraction and significance testing in an in vitro cardiovascular system · 2024
- Assessing Heart-Rate Display Reliability and Agreement Error Between Four Smartwatches and an Electrocardiography Criterion After Resistance Exercise: A Three-Session Test–Retest Experiment Among Healthy Young Men · 2026
- Assessment of photoplethysmographic signals for the determination of splanchnic oxygen saturation in humans · 2002
- BALMS: benchmarking agentic LLMs for longitudinal mental health sensing · 2026
- Beat-to-beat BP, EDA and HR during road-traffic noise: time-course analysis (Dege, Hoog Antink et al., Physiol Meas 2026) · 2026
- Beat-to-beat Intervals of Speckle & Intensity-based Optical Plethysmograms compared to Electrocardiogram · 2021
- Beer-lambert law along non-linear mean light pathways for the rational analysis of Photoplethysmography · 2010
- Benchmark on a large cohort for sleep-wake classification with machine learning techniques · 2019
- Benchmarking and Enhancing PPG-Based Cuffless Blood Pressure Estimation Methods · 2026
- Beyond ECG: robust deep learning-enabled atrial fibrillation detection in HSATs with PPG (SLEEP 2026 abstract 0975) · 2026
- Body fat, skin tone, and the accuracy of smartwatch caloric expenditure estimates · 2026
- BrainCodes: A Lightweight EEG Foundation Model over Discrete Neural Codes · 2026 · model: BrainCodes (USC SAIL + Microsoft Research; lightweight EEG FM over BioCodec tokens)
- Calibration-Free Cuffless Blood Pressure Estimation Using Multimodal ECG-PPG Fusion on a Google Pixel Watch · 2026
- Can we rely on wearable sleep-tracker devices for fatigue management? · 2023
- Cardiac autonomic and behavioral signatures of clinically meaningful weight loss: a 12-week wearable study of 31,126 adults · 2026
- CardioFusion-AI: Robust ECG--PPG Fusion for Multimodal Physiological Monitoring Under Signal Degradation · 2026
- Cerebral Arterial Oxygen Saturation Measurements Using a Fiber-Optic Pulse Oximeter · 2010
- CEReBrO: Compact Encoder for Representations of Brain Oscillations Using Efficient Alternating Attention · 2025 · model: CEReBrO
- Combining scEEG and PPG for reliable sleep staging using lightweight wearables · 2026
- Compact Latent Manifold Translation: A Parameter-Efficient Foundation Model for Cross-Modal and Cross-Frequency Physiological Signal Synthesis · 2026
- Compact PPG-Based Blood Pressure Estimation Using Hardware-Efficient Knowledge Distillation · 2026
- Comparing Remote Speckle Plethysmography and Finger-Clip Photoplethysmography with Non-Invasive Finger Arterial Pressure Pulse Waves, Regarding Morphology and Arrival Time · 2023
- Comparison of methods for determining pulse arrival time from Doppler and photoplethysmography signals · 2014
- Comparison of NIRS, laser Doppler flowmetry, photoplethysmography, and pulse oximetry during vascular occlusion challenges · 2016
- Comparison of non-invasive peripheral venous saturations with venous blood co-oximetry · 2016
- Comparison of SpO2 and HR: Apple Watch Ultra vs Masimo SET in pediatric cardiopulmonary patients (Perdomo Paz & Madrid; Respirar 2025) · 2025
- Comprehensive Analysis of Machine Learning Models for Five-Class Sleep Stage Classification Using PPG Signals · 2026
- Continuous multi-step ECG and PPG generation through latent disentanglement (Comput Biol Med 2026) · 2026
- Controlled Evaluation of EEG Foundation Models: Random Initialisation, Band-Power and Validation-Selected Probes · 2026
- Cuffless and Continuous Blood Pressure Estimation From PPG Signals Using Recurrent Neural Networks · 2020
- Cuffless Photoplethysmogram Based Beat-Beat AI Powered Continuous Blood Pressure Estimation Towards Precision Medicine · 2026
- Cuffless single-site photoplethysmography for blood pressure monitoring · 2020
- Customisable Silicone Vessels and Tissue Phantoms for In Vitro Photoplethysmography Investigations into Cardiovascular Disease · 2024
- Cylindrical Geodesic Flow Matching for Quasiperiodic Physiological Signal Transformation · 2026
- Deep-Tissue Hemodynamic Sensing: Comparing Impedance and Photoplethysmography for Wearable Blood Pressure Estimation · 2026
- DeltaMamba: Pretrained Differential Mamba for Cuffless Blood Pressure Estimation From Photoplethysmography (PPG) · 2026
- Demo: multi-device cuffless blood pressure monitoring via PPG-to-ECG generation (MobiCom '26) · 2026
- Design and Development of a Modular, Multichannel Photoplethysmography System · 2018
- Detecting beats in the photoplethysmogram: benchmarking open-source algorithms · 2022
- Determinants of photoplethysmography signal quality at the wrist · 2025
- Development of a reflectance photoplethysmographic sensor used for the assessment of free flap perfusion · 2011
- Development of an intraluminal intestinal photoplethysmography sensor · 2017
- Development of an optoelectronic sensor for the investigation of photoplethysmographic signals from the anterior fontanel of the newborn · 2011
- Devepopment of an optical probe to investigate the suitability of measuring photoplethysmographs and blood oxygen saturation from the human auditory canal · 2013
- Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients · 2021
- Diffusion-Based Synthetic Data Pretraining for Enhancing Activity Recognition · 2026
- Direct Pulse Oximetry Within the Esophagus, on the Surface of Abdominal Viscera, and on Free Flaps · 2013
- Discovering wearable sensor-derived temporal digital phenotypes and their association with hypertensive disorders in pregnancy · 2026
- Do multimodal language models defer to a clinician's wrong ECG read? A controlled study of sycophancy in 12-lead ECG interpretation · 2026
- DPIKAN: Decomposed Physics-Informed KANs for Physiological Signal Representation Learning · 2026
- Dual-Stream Cross-Differential Transformer for obstructive sleep apnea detection via biosignal fusion of ECG and SpO2 · 2027
- Dynamic beat-to-beat blood pressure estimation using a multi-modal wearable deep learning approach · 2026
- EarBP: Earbuds-Based Noninvasive Blood Pressure Elevation Monitoring Using Pulse Transit Time · 2026
- ECG and PPG during deep sleep for computerised detection of comorbid major depressive disorder in obstructive sleep apnea · 2026
- EEG-Captioner: Grounding EEG-to-Language Generation in Fundamental Signal Properties · 2026 · model: EEG-Captioner (SJTU X-LANCE; Dual-Domain EEG encoder + Qwen2.5-Omni LoRA)
- Effect of Filtering of Photoplethysmography Signals in Pulse Rate Variability Analysis · 2021
- Effect of respiratory-induced intensity variations on finger SpO<inf>2</inf> measurements in volunteers · 2013
- Effects of Contact Pressure in Reflectance Photoplethysmography in an In Vitro Tissue-Vessel Phantom · 2021
- Effects of noise and filtering strategies on the extraction of pulse rate variability from photoplethysmograms · 2023
- Effects of using different algorithms and fiducial points for the detection of interbeat intervals, and different sampling rates on the assessment of pulse rate variability from photoplethysmography · 2022
- Electro-optical plethysmography for non-invasive estimation of hemoglobin concentration · 2011
- Electro-optical techniques for the investigation of photoplethysmographic signals in human abdominal organs · 2006
- Electro-Optical Techniques for the Investigtion of Oesophageal Photoplethysmographic Signals and Blood Oxygen Saturation in Burns · 2006
- Enhancing Fiducial Point Detection in Imaging Photoplethysmography Through Spatial Fusion · 2026
- Esophageal pulse oximetry utilizing reflectance photoplethysmography · 2002
- Esophageal SpO<inf>2</inf> measurements from a pediatric burns-patient: A case study · 2013
- Establishing best practices in photoplethysmography signal acquisition and processing · 2022
- Estimating sleep parameters using an accelerometer without sleep diary · 2018 · model: HDCZA
- Estimation of Contact PPG-Derived Vascular Indices from Reconstructed rPPG Signals · 2026
- Estimation of instantaneous venous blood saturation using the photoplethysmograph waveform · 2015
- Evaluating reliability in wearable devices for sleep staging · 2024
- Evaluating Wearable Electrodermal Activity as a Candidate Digital Biomarker of Occupational Well-Being: Longitudinal Real-World Study · 2026
- Evaluation of a combined reflectance photoplethysmography and laser Doppler flowmetry surface probe · 2013
- Evaluation of a multimode photoplethysmographic sensor during cuff-induced hypoperfusion · 2010
- Evaluation of Electrical and Optical Plethysmography Sensors for Noninvasive Monitoring of Hemoglobin Concentration · 2012
- Evaluation of oesophageal pulse oximetry in patients undergoing cardiothoracic surgery* · 2003
- Evaluation of oesophageal reflectance pulse oximetry in major burns patients · 2005
- Evaluation of skin pigmentation effect on photoplethysmography signals using a vascular finger phantom with tunable optical and mechanical properties · 2025
- Evaluation of the Effect of Extracerebral Layers in Cerebral Photoplethysmography (PPG) Using a Head Phantom · 2026
- Evaluation of the Linear Relationship Between Pulse Arrival Time and Blood Pressure in ICU Patients: Potential and Limitations · 2018
- Exploratory data analysis of tonometry and PTT/PIR signals for cuffless blood pressure monitoring: dynamic responsiveness versus baseline stability · 2026
- External validation of a fingertip wearable device for obstructive sleep apnea diagnosis and split-night tracking of CPAP treatment response · 2026
- Fabricating Novel PDMS Vessels for Phantoms in Photoplethysmography Investigations · 2020
- Feasibility of Ectopic Beat Detection and Count Estimation from Smartwatch-Based Photoplethysmography · 2026
- Filtering techniques for the removal of ventilator artefact in oesophageal pulse oximetry · 2006
- Finger-worn ring for on-demand absolute BP via finger oscillometry (Momin, Mukkamala 2026) · 2026
- First-trimester nocturnal cardiorespiratory coupling during home sleep testing and later pregnancy complications (nuMoM2b secondary analysis) · 2026
- FLOW: Feature-Level Optimal Warping for Generalized Remote Physiological Measurement · 2026 · model: FLOW
- Foundation model-based Bayesian imputation for wearables · 2026
- Free flap pulse oximetry utilizing reflectance photoplethysmography · 2013
- From Elastic to Viscoelastic: An EEMD-Enhanced Pulse Transit Time Model for Robust Blood Pressure Estimation · 2026
- Harnessing AI for Hypothyroidism Monitoring Using Wearable-Derived Heart Rate Data: Retrospective Cohort Study · 2026
- HealthJev: A Self-Evolving Agent for Longitudinal Personal Health Management (Guo et al., Research Square rs-11605391) · 2026
- HealthLoopQA: A Context-Aware Question Answering Benchmark for Interpreting Wearable Monitoring Data in Diabetes Care · 2026
- Heart Rate Variability (HRV) and Pulse Rate Variability (PRV) for the Assessment of Autonomic Responses · 2020
- Heart Rate Variability and Multi-Site Pulse Rate Variability for the Assessment of Autonomic Responses to Whole-Body Cold Exposure · 2020
- How Far Can Wearable-Compatible Signals Go? A Controlled Decomposition of Non-EEG Sleep Staging · 2026
- In silico and in vivo investigations using an endocavitary photoplethysmography sensor for tissue viability monitoring · 2020
- In vitro validation of measurement of volume elastic modulus using photoplethysmography · 2017
- In Vitro Evaluation of a Non-Invasive Photoplethysmography Based Intracranial Pressure Sensor · 2022
- In vivo investigation of ear canal pulse oximetry during hypothermia · 2017
- In-Vitro Investigation of Flow Profiles in Arteries Using the Photoplethysmograph · 2021
- In-Vivo evaluation of a fiber-optic splanchnic photoplethysmographic sensor during open laparotomy · 2009
- Inaccuracy of pulse oximetry with dark skin pigmentation: clinical implications and need for improvement · 2023
- Instantaneous venous oxygenation estimation using the Photoplethysmograph (PPG) waveform · 2011
- Integrated Noise-Aware PPG-Based Blood Pressure Stratification With Rate and Rhythm Sensing for Smart Portable Cuffless BP Monitor · 2026
- Interaction-Gated Time-Frequency Learning for Parameter-Efficient PPG-Based Heart Rate Estimation · 2026
- Investigating optical path and differential pathlength factor in reflectance photoplethysmography for the assessment of perfusion · 2018
- Investigating the origin of photoplethysmography using a multiwavelength Monte Carlo model · 2020
- Investigation of finger reflectance photoplethysmography in volunteers undergoing a local sympathetic stimulation · 2013
- Investigation of oesophageal photoplethysmographic signals and blood oxygen saturation measurements in cardiothoracic surgery patients · 2002
- Investigation of peripheral photoplethysmographic morphology changes induced during a hand-elevation study · 2015
- Investigation of photoplethysmographic changes using a static compression model of spinal cord injury · 2009
- Investigation of photoplethysmographic signals and blood oxygen saturation values obtained from human splanchnic organs using a fiber optic sensor · 2011
- Investigation of photoplethysmographic signals and blood oxygen saturation values on healthy volunteers during cuff-induced hypoperfusion using a multimode PPG/SpO2 sensor · 2012
- Investigation of photoplethysmographs from the anterior fontanelle of neonates · 2014
- Investigation of photoplethysmography and arterial blood oxygen saturation from the ear-canal and the finger under conditions of artificially induced hypothermia · 2015
- Investigation of photoplethysmography and Near Infrared Spectroscopy for the assessment of tissue blood perfusion · 2014
- Investigation of photoplethysmography, laser doppler flowmetry and near infrared spectroscopy during induced thermal stress · 2015
- Investigation of pulse oximeter failure rates during artificial hypoperfusion utilising a custom made multimode pulse oximetery sensor · 2011
- Investigation of Pulse Transit Times utilizing multisite reflectance photoplethysmography under conditions of artificially induced peripheral vasoconstriction · 2014
- Investigation of the human oesophagus as a new monitoring site for blood oxygen saturation · 2001
- It is All in the Wrist: Wearable Sleep Staging in a Clinical Population versus Reference Polysomnography · 2021
- KANFlow: Efficient Shallow-KAN Flow Matching for Wearable PPG-to-ECG Reconstruction · 2026
- Lead-adaptive self-supervised ECG representation model for multi-scenario ECG monitoring · 2027 · model: Lead-adaptive SSL ECG model (VQ-VAE tokenizer + lead-adaptive MAE; BSPC 2026)
- Learning individual autonomic representations of sleep stages to improve photoplethysmography based sleep monitoring · 2025
- Learning Where to Look: A Shared Relative-Alignment Module for Time-Series Forecasting and PPG-to-Vital-Sign Reconstruction (ROOSTER) · 2026
- Low-Rate Wrist SpO2 Estimation under Micro-Perturbations Using Motion-Aware Beat Selection and Perfusion-Guided Calibration · 2026
- Machine Learning-Based Identification of Patients with Elevated Central Venous Pressure Using Features Extracted from Photoplethysmography and Arterial Blood Pressure Waveforms · 2026
- MAGIC: multi-grained conditional diffusion for high-fidelity PPG-to-ECG translation · 2026
- Measurement of photoplethysmographic signals in human abdominal organs · 2009
- Measurement of splanchnic photoplethysmographic signals using a new reflectance fiber optic sensor · 2010
- Measuring venous oxygenation using the photoplethysmograph waveform · 2010
- Mechanical Testing of Artificial Vessels and Tissues for Photoplethysmography Phantoms · 2022
- Melanin- and linewidth-corrected pulse-oximetry · 2026
- Mindful Kidney: Wrist PPG Blood Pressure Trend Pipeline (code + results repository) · 2026
- Modulation of finger photoplethysmographic traces during forced respiration: Venous blood in motion? · 2012
- Monte Carlo Analysis of Optical Interactions in Reflectance and Transmittance Finger Photoplethysmography · 2019
- Monte Carlo investigation of the effect of blood volume and oxygen saturation on optical path in reflectance pulse oximetry · 2016
- Monte Carlo model for reflectance Pulse Oximetry using pulsatile monolayer perfused skin tissue · 2019
- Monte Carlo simulation of the effect of melanin concentration on light-tissue interactions in transmittance and reflectance finger photoplethysmography · 2024
- Monte Carlo simulation of the effect of melanin concentration on light–tissue interactions for transmittance pulse oximetry measurement · 2024
- Monte Carlo Simulation of the Effect of Melanin Concentration on Light–Tissue Interactions in Reflectance Pulse Oximetry · 2025
- Motion-Robust Multimodal Fusion of PPG and Accelerometer Signals for Three-Class Heart Rhythm Classification · 2025
- MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems · 2026 · model: MS-rPPG
- MSCFMamba: Lightweight Mamba Model With Transfer Learning for Continuous Cuffless Blood Pressure Monitoring Using PPG and BCG · 2026
- Multi-Site Photoplethysmography Technology for Blood Pressure Assessment: Challenges and Recommendations · 2019
- Multimodal Photoplethysmography-Based Approaches for Improved Detection of Hypertension · 2020
- Multimodal Sleep Stage and Sleep Apnea Classification Using Vision Transformer: A Multitask Explainable Learning Approach · 2025
- Multispectral PPG Sensing Framework for Noninvasive Glucose Prediction via Multi-Feature Fusion and Micro-Environmental Compensation · 2026
- Non-Invasive Measurement of Cognitive Load and Stress Based on the Reflected Stress-Induced Vascular Response Index · 2018
- Novel Polydimethylsiloxane (PDMS) Pulsatile Vascular Tissue Phantoms for the In-Vitro Investigation of Light Tissue Interaction in Photoplethysmography · 2020
- Obstructive Sleep Apnoea Syndrome Screening Through Wrist-Worn Smartbands: A Machine-Learning Approach · 2022
- On Improving PPG-Based Sleep Staging: A Pilot Study · 2025
- Optical crosstalk and other forms of light interference in pulse oximeter comparison studies · 2023
- Optical Fibre Catheter Photoplethysmograph · 2006
- Optical methods for cuffless blood pressure measurements · 2025
- Orthostatic adaptation from synchronized ECG + finger PPG: HR, PAT and perfusion index time courses (Anders, Leonhardt, Lueken, BSN 2026) · 2026
- Outlier Management for Pulse Rate Variability Analysis from Photoplethysmographic Signals · 2022
- P2E-VQ: ECG-linked representation augmentation for PPG via discrete patch retrieval · 2026
- Panic Attack Prediction Using Wearable Devices and Machine Learning: Development and Cohort Study · 2022
- Pediatric ECG foundation model via adult-to-pediatric fine-tuning (Cao, Xu, Li et al., arXiv 2611.07717) · 2026 · model: Pediatric ECG FM
- Perfusion Changes at the Forehead Measured by Photoplethysmography during a Head-Down Tilt Protocol · 2019
- Perfusion indices cannot be reproduced from publicly available perioperative waveform data: a reproducibility and usability assessment of VitalDB (code + derived results) · 2026
- PG-LRF: Physiology-Guided Latent Rectified Flow for Electro-Hemodynamic PPG-to-ECG Generation · 2026
- Photoplethysmogram Morphology in Stress: From Mental to Pain to Physical Activity-induced Stress · 2023
- Photoplethysmographic and SpO<inf>2</inf> readings from the neonatal anterior fontanelle: A case Study · 2012
- Photoplethysmographic measurements from central nervous system tissue · 2007
- Photoplethysmographic measurements from the esophagus using a new fiber-optic reflectance sensor · 2011
- Photoplethysmographic sensors for perfusion measurements in spinal cord tissue · 2011
- Photoplethysmographic signal analysis for vascular ageing assessment · 2026
- Photoplethysmographic signals and blood oxygen saturation values during artificial hypothermia in healthy volunteers · 2012
- Photoplethysmography (PPG): state-of-the-art methods and applications · 2021
- Photoplethysmography as a noninvasive surrogate for microneurography in measuring stress-induced sympathetic nervous activation — A machine learning approach · 2025
- Photoplethysmography for an independent measure of pulsatile pressure under controlled flow conditions · 2016
- Photoplethysmography for blood volumes and oxygenation changes during intermittent vascular occlusions · 2017
- Photoplethysmography for Quantitative Assessment of Sympathetic Nerve Activity (SNA) During Cold Stress · 2019
- Photoplethysmography for the Assessment of Arterial Stiffness · 2023
- Photoplethysmography for the Assessment of Haemorheology · 2017
- Photoplethysmography in postoperative monitoring of deep inferior epigastric perforator (DIEP) free flaps · 2020
- Photoplethysmography-Based Pulse Rate Variability and Haemodynamic Changes in the Absence of Heart Rate Variability: An In-Vitro Study · 2022
- Photoplethysmography: Towards a non-invasive pressure measurement technique · 2016
- PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer · 2022 · model: PhysFormer
- Physiological Waveform Features Based Aging Clocks Associate with Cardiovascular Disease · 2026
- PhysioSplit: Delay-Aware Context-Selective Fusion under Cohort Shift · 2026
- Pilot investigation of anterior fontanelle photoplethysmographic signals and their suitability in estimating arterial oxygen saturation · 2013
- Posttraumatic stress disorder hyperarousal event detection using smartwatch physiological and activity data · 2022
- PPG-Based Sleep Staging Using SleepPPGNet: Extension to Wearables, Improvements, Limitations · 2024
- Precardioversion Heart Rhythm Monitoring Using Smartphone Photoplethysmography: The SMARTBEATS Randomized Clinical Trial · 2026
- Predicting hypotension from a pulse waveform: masked-reconstruction pretrained transformer on VitalDB PPG (Zenodo report 2026) · 2026
- Prediction of acute mountain sickness from overnight pulse oximetry during ascent to Everest Base Camp: a field-based machine learning study · 2026
- Preliminary assessment of abdominal organ perfusion utilizing a fiber optic photoplethysmographic sensor · 2010
- Preliminary evaluation of a new fibre-optic cerebral oximetry system · 2008
- Pulse oximetry and photoplethysmographic waveform analysis of the esophagus and bowel · 2008
- Pulse oximetry in the oesophagus · 2005
- Pulse oximetry of body cavities and organs · 2013
- Pulse rate variability in cardiovascular health: a review on its applications and relationship with heart rate variability · 2020
- Pulse Wave Detection using Fiber Bragg Gratings: Comparison with Multiwavelength Photoplethysmography Devices · 2026
- Pulse waveform morphology encodes haemodynamic signatures of impending stroke · 2026
- PULSE: A Synchronized Five-Modality Dataset for Sensorimotor Coordination in Long-Horizon Daily Activities · 2026
- PulseAnchor: Personalizing PPG Foundation Models for Cuffless Blood Pressure Estimation · 2026
- Recurrent Neural Network Models for Blood Pressure Monitoring Using PPG Morphological Features · 2021
- Reflectance Photoplethysmography as Noninvasive Monitoring of Tissue Blood Perfusion · 2015
- Reliability and inter-device agreement of multi-site heart rate variability measurements during transcutaneous auricular vagus nerve stimulation: a prospective single-arm methodological physiological study · 2026
- Robust synchronization of cardiac-linked biosensors under peak detection failures: a modality-agnostic approach via structural repair and Huber-IRLS regression · 2026
- Segmentation of Motion Artifacts in Wearable PPG Signals Using Lightweight Neural Networks · 2025
- SF2O-SKDCN: Selective kernel attention enabled deep learning framework for cardiovascular disease detection using photoplethysmography signals · 2027
- Simultaneous photoplethysmography and blood flow measurements towards the estimation of blood pressure using speckle contrast optical spectroscopy · 2023
- Six-week stability and BP-change tracking of CSEM's wrist cuffless PPG BP monitor in hypertensive patients (Proença et al., Blood Pressure 2026) · 2026
- Skin pigmentation effects on PPG via vascular finger phantoms and Monte Carlo simulation (J. Biomed. Opt. 2026) · 2026
- Sleep classification from wrist-worn accelerometer data using random forests · 2021
- Sleep regularity is a stronger predictor of mortality risk than sleep duration: A prospective cohort study · 2023
- Sleep stage prediction with raw acceleration and photoplethysmography heart rate data derived from a consumer wearable device · 2019
- SleepPPG-Net2: Deep learning generalization for sleep staging from photoplethysmography · 2024
- Smartwatch-based detection of loss of pulse · 2026
- Soft, Multi-Wavelength Photoplethysmography Enables Reliable Neonatal Blood Pressure Monitoring Via Error Stratification · 2026
- SpecBraM: What Should an EEG Foundation Model Predict? Masked Band-Power Prediction versus Waveform Reconstruction · 2026
- Speckle contrast optical spectroscopy for cuffless blood pressure estimation based on microvascular blood flow and volume oscillations · 2025
- Speckleplethysmographic (SPG) Estimation of Heart Rate Variability During an Orthostatic Challenge · 2019
- Spectral analysis for pulse rate variability assessment from simulated photoplethysmographic signals · 2022
- Spectral emission profile and wavelength tolerances affect pulse oximeter performance · 2026
- SpikeBP: Efficient Spike-Driven Transformer for Blood Pressure Waveform Generation with Frequency Knowledge Distillation · 2026
- SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals · 2024
- Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants · 2018
- Subjective and objective sleepiness in the active individual · 1990
- SynHAR: Augmenting Human Activity Recognition With Synthetic Inertial Sensor Data Generated From Human Surface Models · 2024 · model: SynHAR
- Tablet-Camera Iris Landmarks and EEG/PPG-Derived Arousal Indices During Naturalistic Reading: Geometric Confounding and Exploratory Within-Subject Associations · 2026
- Take it Personally: The Limits of General SSL Representations for Real-Life PPG Emotion Detection · 2026 · model: RL-PPG (Real-Life PPG encoder; Emognition)
- Task- and Metric-Specific Signal Quality Indices for Medical Time Series · 2026
- The 2023 wearable photoplethysmography roadmap · 2023
- The anatomy of a personal health agent · 2026
- The effect of vascular changes on the photoplethysmographic signal at different hand elevations · 2015
- The effects of optical sensor-tissue separation in endocavitary photoplethysmography · 2018
- The human ear canal: investigation of its suitability for monitoring photoplethysmographs and arterial oxygen saturation · 2014
- The hypoxic burden of sleep apnoea predicts cardiovascular disease-related mortality: the Osteoporotic Fractures in Men Study and the Sleep Heart Health Study · 2018
- The Validity of Apple Watch Series 9 and Ultra 2 for Serial Measurements of Heart Rate Variability and Resting Heart Rate (O'Grady … Doherty; Sensors 2024) · 2024
- The wearable AI-PPG AF burden: a passive, dynamic burden tool with an ECG-distilled deep foundation model (HRS 2026 abstract) · 2026
- Theory of Dynamic Pulsatile Spectroscopy for photoplethysmographic signals analysis · 2013
- Tiny-PPG: A Lightweight Deep Neural Network for Real-Time Detection of Motion Artifacts in Photoplethysmogram Signals on Edge Devices · 2024
- Too Close for Comfort: Continuous Anxiety Decoding from Physiology and Embodied Signals in Social VR · 2026
- Towards trustworthy AI-driven cuffless blood pressure monitoring · 2026
- TPF-BP: A Three-Stage Physiology-Guided Self-Supervised Transfer Learning Framework for Personalized Blood Pressure Measurement · 2026
- TransfHAR: Self-Supervised Wrist Representations for On-Demand Activity Recognition · 2026 · model: InrtlWrist
- Ultra lightweight residual network for multiclass arrhythmia classification using raw smartwatch PPG signals · 2026
- Uncertainty-aware fourier-encoded attentive Bi-GRU for non-invasive blood glucose estimation from multimodal PPG and GSR signals · 2026
- Universal approach to actigraphic sleep/wake scoring, verified against 5 classic algorithms on 3 datasets · 2026
- Validation of Commercial Wearables for Driver Monitoring: Assessing Heart Rate Accuracy and Reliability for Early Detection of Sudden Illnesses · 2026
- Validation of photoplethysmography- and acceleration-based sleep staging in a community sample: comparison with polysomnography and Actiwatch · 2023
- Validation of Photoplethysmography-Based Sleep Staging Compared With Polysomnography in Healthy Middle-Aged Adults · 2017
- Validation of photoplethysmography-derived short-term heart rate variability using a wearable device (Bora Band vs 12-lead ECG) · 2026
- Validity of Apple Watch, Garmin Forerunner 935 and GENEActiv for estimating energy expenditure during close quarter battle training in Special Forces soldiers · 2024
- Wearable Arrhythmia Detection: Moving from your Watch to your Shirt? · 2026
- Wearable Dual-Modality Plethysmography for Arterial Modulation and Blood Pressure Dip · 2026
- Wearable ECG and PPG for anxiety detection: a translational digital medicine perspective (Elgendi … Ward; npj Digit Med 2026) · 2026
- Wearable Photoplethysmography for Cardiovascular Monitoring · 2022
- WearableQA: A Benchmark for Health Reasoning over Real-World Wearable Data · 2026
- WearICG: Towards A Wearable Approach to Continuous Stroke Volume Monitoring · 2026
- Wonderwall: A Virtual-to-Real Foundation Model for IMU-based HAR · 2026 · model: Wonderwall
- Wrist-worn wearables for atrial fibrillation detection: diagnostic performance of PPG versus single-lead ECG (review) · 2026
- 2B-Alert App: A mobile application for real-time individualized prediction of alertness · 2018
- A Comprehensive Inference-Time Augmentation Framework in Physiological Signals: Application to PPG-Based AF Detection · 2026
- A Context-Aware Framework for Optimal Filter Parameter Selection: Enhancing PRV Estimation in Wearable Wrist PPG Signals · 2026
- A Multi-Class Automatic Sleep Staging Method Based on Photoplethysmography Signals · 2021
- A multiclass arrhythmia classification method based on photoplethysmography signals of smartwatches (MGERB) · 2026
- A Multilayer Monte Carlo Model for the Investigation of Optical Path and Penetration Depth at Different Perfusion States of the Colon · 2019
- A multitask Transformer-VAE framework for robust PPG denoising and atrial fibrillation screening · 2026
- A Nonlinear Complexity Index for Wearable PPG Cardiovascular Stability: Multiscale Validation, Systematic Evaluation Correction, and Bayesian Parameter Optimization · 2026
- A novel fontanelle probe for sensing oxygen saturation in the neonate · 2017
- A Physiology- and Measurement-Informed Framework for Evaluating PPG Features in Cuffless Blood Pressure Estimation · 2026
- A resting-state EEG dataset for sleep deprivation · 2024
- A self-supervised electrocardiogram foundation model for empowering cardiovascular disease prediction and genetic factor discovery (ECG-LFM) · 2026
- A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis · 2025
- A systematic evaluation of window lengths for photoplethysmography-based sleep staging · 2026
- A Wrist-Worn Photoplethysmography Platform for Blood Glucose Estimation Using Embedded CNN Inference and CNN–SVR Modeling · 2026
- Accelerometry-Assessed Latent Class Patterns of Physical Activity and Sedentary Behavior With Mortality · 2017
- Accelerometry-Based Machine Learning Estimation of Energy Expenditure and Physical Activity Intensity Classification in Daily Tasks · 2026
- Accelerometry-Derived REM Sleep Behavior Disorder Score Is Associated with Incident Parkinson's Disease in the UK Biobank · 2026
- Accuracy of Optical Heart Rate Measurements for 10 Commercial Wearables in Different Climate Conditions and Activities (Gielen … Aerts; JMIR Form Res 2026) · 2026
- Accurate but Not Transferable: Can we overcome Identity Confounding in Blood Pressure Regression? (MOrdereD)
- Actigraphy-based sleep estimation in adolescents and adults: a comparison with polysomnography using two scoring algorithms · 2018
- Actigraphy-Driven Biomathematical Fatigue Modeling in British Military Rotary-Wing Pilots · 2025
- Activity-Based Sleep-Wake Identification: An Empirical Test of Methodological Issues · 1994
- Age-related changes in peripheral pulse timing characteristics at the ears, fingers and toes · 2002
- AI-Enhanced Smartwatch AHI Estimation and AI-Scored Polysomnography for Obstructive Sleep Apnea: Real-World Validation · 2025
- An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram · 2016
- Analysis of factors affecting the predictive performance of foundation models for PPG signals (Ljubljana MSc thesis) · 2026
- AnyECG-Echo: Wearable Single-Lead ECG Detects Fine-Grained Structural Heart Disease Through Echo-Report Supervision · 2026
- Apnea-hypopnea index estimation with wrist-worn photoplethysmography · 2026
- Application of inertial measurement units and machine learning for fatigue assessment in badminton athletes · 2026
- Application of inertial measurement units and machine learning for fatigue assessment in badminton athletes · 2026
- Arm-worn PPG for high-confidence alcohol-intoxication alerts: controlled study (Blangero et al., BSN 2026) · 2026
- Assessment of obstructive sleep apnea-related sleep fragmentation utilizing deep learning-based sleep staging from photoplethysmography · 2021
- Assessment of vasoactive agents and vascular aging by the second derivative of photoplethysmogram waveform · 1998
- Association of accelerometer-measured rest-activity rhythm patterns and parameters with cardiovascular and all-cause mortality in older adults · 2026
- Atrial fibrillation detection from wrist photoplethysmography signals using smartwatches · 2019
- Automated cardiac arrest detection using wrist-derived photoplethysmography during withdrawal of life-sustaining treatment: a prospective clinical validation study · 2026
- BayaHAR: Lightweight Bayesian Few-Shot User Adaptation for On-Device Personalized Human Activity Recognition · 2026
- BCG-FM: A Foundation Model for Ambient Cardiac Health Sensing
- BCoughBench: Benchmarking Respiratory Acoustic Foundation Models Under Body-Coupled Wearable Sensor Conditions · 2026
- BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation · 2023
- BenchHAR: benchmarking self-supervised learning for generalizable sensor-based activity recognition · 2026
- Beyond Atrial Fibrillation: Emerging Clinical Applications of Photoplethysmography in Consumer Wearables · 2026
- Beyond Motion Artifacts: Optimizing PPG Preprocessing for Accurate Pulse Rate Variability Estimation · 2025
- Brain Light-Tissue Interaction Modelling: Towards a non-invasive sensor for Traumatic Brain Injury · 2021
- Calculation of photon path changes due to scatter in Monte Carlo simulations · 2010
- Camera-based HbA1c estimation using remote photoplethysmography: development, independent evaluation, and baseline comparator analysis · 2026
- Camera-Derived Photoplethysmography (rPPG) and Speckle Plethysmography (rSPG): Comparing Reflective and Transmissive Mode at Various Integration Times Using LEDs and Lasers · 2022
- Can a Ring Measure, Predict or Heal Stress? A Critical Appraisal of the Oura Ring's Stress, Resilience and Cumulative Stress Claims · 2026
- Change Point--Aware Evaluation and Re-Calibration of PPG-Based Blood Pressure Estimation · 2026
- Circuit-free cardiovascular monitoring via skin-interfaced nanophotonics · 2026
- Clinical testing of software and medical devices based on photoplethysmography (PPG) sensors: a scoping review · 2026
- Clinical validation of comprehensive time- and frequency-domain photoplethysmography features from a single-sensor system for non-invasive assessment of vascular load and systolic blood pressure · 2025
- Clinical Validation of Photoplethysmography-Based Finger Cuffless Blood Pressure Monitoring Following European Society of Hypertension Recommendations · 2026
- Clinical-grade Cuffless Blood Pressure Monitoring via Deep-tissue Diffuse Speckle Pulsatile Flowmetry · 2026
- Comparing self-supervised pretraining methods and transfer configurations for wrist ECG under motion (HumanSys '26) · 2026
- Comparison between Speckle Plethysmography and Photoplethysmography during Cold Pressor Test Referenced to Finger Arterial Pressure · 2023
- Comparison of speckleplethysmographic (SPG) and photoplethysmographic (PPG) imaging by Monte Carlo simulations and in vivo measurements · 2018
- Context-dependent age-group performance hierarchies limit fairness interventions in PPG-based heart rate prediction · 2026
- CoWear: Towards Collaborative Wearable Inertial Localization with Multiple Smart Devices · 2026
- Crainio non-invasive intracranial pressure monitor for traumatic brain injury: feasibility study · 2025
- Cross-View Attention Fusion Net: A Prior-Guided Dual-View Representation Learning for Cardiac Output Estimation from Short-Term PPG Signals · 2026
- Cuffless 24-hour ambulatory blood pressure monitoring-guided antihypertensive titration in real-world clinical practice: a prospective non-randomized study · 2026
- Cuffless Blood Pressure Estimation From Wearable Photoplethysmography and Windkessel Model-Regularized Learning Approach · 2026
- Data leakage in PPG-based non-invasive blood glucose prediction · 2026
- Deep Learning Classification of Photoplethysmogram Signal for Hypertension Levels · 2024
- Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea · 2020
- DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition · 2026
- Detecting Neurovascular Instability from Multimodal Physiological Signals Using Wearable-Compatible Edge AI: A Responsible Computational Framework · 2026
- Developing technologies to assess vascular ageing: a roadmap from VascAgeNet · 2024
- Development and optical characterization of a multilayered head phantom for optical brain monitoring · 2026
- Development of a New Splanchnic Perfusion Sensor · 2007
- Differences in pulse oximetry saturation from sea level to high altitude among subjects with and without respiratory disease. A population-based, cross-sectional study · 2026
- Differential pathlength factor estimation for brain-like tissue from a single-layer Monte Carlo model · 2015
- Differentially and Integrally Attentive Convolutional-Based Real-Time Photoplethysmographic Signal Quality Classification · 2026
- DiffusionRef-IMU: Guide-Anchored Residual Diffusion for Cross-Location Inertial Measurement Unit Translation · 2026
- Digital photoplethysmography for assessment of arterial stiffness: repeatability and comparison with applanation tonometry · 2015
- DMT: Demographic Conditioning, Morphology-Enhanced Transformer for Cuffless Blood Pressure Estimation from PPG Signals · 2026
- Do toe-PPG PAD features encode race? (Fascetti et al., ML4H 2026) · 2026
- Domain-independent PPG signal quality assessment framework via representation learning · 2026
- Dynamic Evaluation of Peripheral Hypoxia (DEPH): a method for the assessment of nocturnal hypoxic burden in respiratory diseases using pulse-oximetry · 2026
- Dynamic heart rate variability for classification of arrhythmia burden (IQR-RMSSD) · 2026
- Dynamic-AF: a photoplethysmography-based atrial fibrillation burden evolution model in a post-ablation cohort · 2026
- ECG embeddings beyond chronological age for prediagnostic cognitive impairment and dementia: development and external validation (JMIR 2026) · 2026
- ECG-LLM: foundation model for ECG-based cardiac reasoning · 2026
- ECG-RSI: Recursive Self-Improvement through Targeted Electrocardiogram Waveform Evolution · 2026
- Efficient embedded sleep wake classification for open-source actigraphy · 2021
- Employability assessment of computerized fatigue avoidance tool used with and without actigraphy among naval aircrew · 2023
- Estimating Breathing Disturbances and Sleep Apnea Risk from Apple Watch · 2024
- Estimating the Dependence of Differential Pathlength Factor on Blood Volume and Oxygen Saturation using Monte Carlo method · 2019
- Evaluating representation embeddings from LLMs and time-series foundation models for wearable accelerometer-based health prediction · 2026
- Evaluation of cardiovascular risk using smartwatch-measured pulse wave velocity in China: a nationwide cross-sectional study · 2026
- Examining the Relationship Between Nurse Fatigue, Alertness, and Medication Errors · 2024
- Expecting the Unexpected: predicting panic attacks from mood, Twitter and Apple Watch data (E. W. McGinnis … R. S. McGinnis; IEEE OJEMB 2024) · 2024
- Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants · 2017
- FALLNEST: Dual-Domain Dataset Condensation of Imbalanced IMU Data for Wearable Fall Detection · 2026
- Fatigue models for applied research in warfighting · 2004
- Feasibility of Accelerometer-Based Arterial Pulse Measurement: Part I—Theoretical Analysis · 2026
- Feasibility of Accelerometer-Based Arterial Pulse Measurement: Part II—Experimental Investigation · 2026
- Feasibility of Embedded Photoplethysmography Sensing in Short-Duration Tactile Interactions With Pocket-Sized Robots Using IMU- and Confidence-Based Filtering · 2026
- Feasibility of Watch-Based Blood Pressure Monitoring in Real-World Settings: A Retrospective Analysis of Multiyear Observational Data (Preprint) · 2026
- Finger-to-Ear ECG: Systematic Evaluation of an Earbud-Based Cardiac Monitoring Approach · 2026
- Flight Attendant Work/Rest Patterns, Alertness, and Performance Assessment: Field Validation of Biomathematical Fatigue Modeling (DOT/FAA/AM-12/12) · 2012
- From Catheters to Wearables: Advanced Hemodynamic Monitoring and the Emerging Role of PPG-Based Devices · 2026
- From PPG to Blood Pressure at the Edge: Quantization-Aware Architecture Selection and On-MCU Validation · 2026
- From wrist to heart: clinical validation and real-world translation of wearable and portable AI-enhanced electrocardiography · 2026
- Further validation of actigraphy for sleep studies · 2003
- Fuzzy Accuracy Compensates for Label Subjectivity in Classification of Skin Tone Using Wearable Photoplethysmography Signals · 2026
- Generalizing ECG-based fatigue detection across fatigue-induction paradigms using deep learning · 2026
- Generation of 12-Lead Electrocardiogram Using Smartwatches in Patients With Cardiac Conditions: Clinical Validation Study · 2026
- Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms · 2019
- Getting More from Less: Transfer Learning Improves Sleep Stage Decoding Accuracy in Peripheral Wearable Devices · 2025
- Glow in the Dark: User Perceptions of PPG Sampling and the Purkinje Effect in Mesopic Low-Light Environments · 2026
- HARENA: A Living Benchmark for Sensor-Based Human Activity Recognition on Resource-Constrained Edge Devices · 2026
- Head Phantom for the Acquisition of Pulsatile Optical Signals for Traumatic Brain Injury Monitoring · 2023
- Head Phantom Optical Properties Validation for Near-Infrared Measurements: A Comparison with Animal Tissue · 2022
- Heart Rate Variability Can Be Used to Estimate Sleepiness-related Decrements in Psychomotor Vigilance during Total Sleep Deprivation · 2012
- Holtercare-Bench: A Multimodal Benchmark for Evaluating Long-Term Dynamic ECG Analysis (Xie et al., ACM MM 2026) · 2026
- Hypertension screening via awake–sleep differences in photoplethysmogram signals · 2026
- In Vitro Evaluation of Confounders in Brain Optical Monitoring: A Review · 2025
- Inferring Optical Tissue Properties from Photoplethysmography using Hybrid Amortized Inference · 2025
- InsightSleepNet: the interpretable and uncertainty-aware deep learning network for sleep staging using continuous Photoplethysmography · 2024
- Integrating Deep PPG Representations and Digital Biomarkers for Aortic Stenosis Detection with Peri-TAVI Assessment · 2026
- Interpretable 4-second PPG features detect peripheral artery disease (Fascetti et al., WiML 2026) · 2026
- Interpretable Reliability Control for Wearable PPG Heart Rate Estimation · 2026
- Intraoperative monitoring of intestinal viability: Evaluation of a new combined sensor · 2015
- Joint Attention Mechanism Learning to Facilitate Opto-physiological Monitoring during Physical Activity · 2025
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- Leveraging the wearable 1-lead ECG signal. From cardiac rhythm to cardiac function assessment · 2026
- Lightweight ResNet-Based Deep Learning for Photoplethysmography Signal Quality Assessment · 2025
- Longitudinal Wrist PPG Analysis for Reliable Hypertension Risk Screening Using Deep Learning · 2024
- Machine learning and evolutionary computation for increased reliability of wearable devices for monitoring cardiac arrhythmias in the wild · 2026
- Machine Learning Approaches to Intracranial Pressure Prediction in Patients with Traumatic Brain Injury: A Systematic Review · 2023
- Machine learning for scalable obstructive sleep apnea risk screening using digital phenotyping from wearable devices and clinical scales · 2026
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- Measurement of stress-induced sympathetic nervous activity using multi-wavelength PPG · 2023
- Menstrual cycle-related dynamics of glycemic variability in women without diabetes · 2026
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- Multi-Wavelength PPG Amplitude Ratio Features for Cuffless Blood Pressure Estimation: An Exploratory Study · 2026
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- Non-invasive monitoring of intracranial pressure changes: healthy volunteers study · 2023
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- OCD-Sense: A Novel Wearable Sensor Dataset and Transformer Framework for Recognizing OCD-Relevant Behaviors · 2026
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- Optical measurement of blood flow changes in spinal cord injury · 2010
- Optical Techniques for Blood and Tissue Oxygenation · 2019
- Optimal Signal Quality Index for Photoplethysmogram Signals · 2016
- Optimizing entropy-based heart rate variability metrics: fixed tolerance improves congestive heart failure classification · 2026
- Optimizing Photoplethysmography-Based Sleep Staging Models by Leveraging Temporal Context for Wearable Devices Applications · 2024
- Passive Heart-Rate Monitoring During Smartphone Use in Everyday Life · 2026
- PENGUIN: General Vital Sign Reconstruction from PPG with Flow Matching State Space Model · 2026
- Performance of a Convolutional Neural Network Derived From PPG Signal in Classifying Sleep Stages · 2023
- Personalized and Explainable Blood Pressure Estimation from PPG via Hybrid CNN--Morphological Features · 2026
- Personalized Blood Pressure Estimation With a Topological Prior Vector From Minimal Per-Subject Data · 2026
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- Photoplethysmography based remote cardiac blood pressure monitoring compared with 24-h ambulatory blood pressure monitoring · 2026
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- Photoplethysmography-based smartwatches for atrial fibrillation detection in stroke survivors: the Liverpool-Huawei Stroke Study (ESC 2026 abstract) · 2026
- Physical PPG signal synthesis via reinforcement learning-based LED control · 2026
- Physiological Stratified Models for Personalized Cuffless Blood Pressure Estimation Using Wearable Multimodal Sensors · 2026
- PITN: Physics-Informed Temporal Networks for Cuffless Blood Pressure Estimation · 2024
- Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data · 2026
- PPG-based affect recognition with long-range deep models: a measurement-driven comparison of CNN, Transformer and Mamba architectures · 2026
- PPG-Based Heart Rate Accuracy in Diverse Populations: Investigating Inequities Across Body Composition and Skin Tones · 2026
- PPG-IDR: Leveraging User Identity for Robust Cross-user PPG Sensing via Disentangled Representations · 2026
- PPGNet: Deep Multiple Instance Learning for Automated Hypertension Detection in OSA Patients Using PPG Signals · 2026
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- Prediction of shiftworker alertness, sleep, and circadian phase using a model of arousal dynamics constrained by shift schedules and light exposure · 2021
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- Pulse-based photoplethysmography quality assessment improves wearable seizure detection performance · 2026
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- Rapid Adaptation of SpO2 Estimation to Wearable Devices via Transfer Learning on Low-Sampling-Rate PPG · 2025
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- Reducing Latency and Noise in PPG-Based SpO2 Measurements: A Kalman Filtering Approach Towards Acute Hypoxia Detection · 2025
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- Rolling shutter speckle plethysmography for quantitative cardiovascular monitoring · 2024
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- Utilizing Multi-PPG-Sensor Site Information in a Localized Wrist Area for Improving Cuffless Blood Pressure Estimation · 2026
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Authors 622
- Panicos A. Kyriacou
- Yuzhe Yang
- Maxwell A. Xu
- Shwetak Patel
- Ahmed A. Metwally
- Daniel McDuff
- Mark Malhotra
- Xin Liu
- James M. Rehg
- Yun Liu
- Girish Narayanswamy
- Zitao Shuai
- A. Ali Heydari
- Bo Zhou
- Jake Garrison
- Paul Lukowicz
- Pushmeet Kohli
- Tim Althoff
- Vitor Fortes Rey
- Xuhai "Orson" Xu
- Yuwei Zhang
- Aaqib Saeed
- Nicholas C. Jacobson
- Shenda Hong
- Zongzhe Xu
- Aidan Acquah
- Aiden Doherty
- Arvind Pillai
- Kumar Ayush
- Lala Shakti Swarup Ray
- Mengxi Liu
- Ming-Zher Poh
- Shing Chan
- Yu Yvonne Wu
- Yuliang Chen
- Zhiqing Hong
- Dimitris Spathis
- Emmanuel Mignot
- Guangkun Nie
- James Zou
- Jun Li
- Patrick Langer
- Peter H. Charlton
- Salar Abbaspourazad
- Samy Abdel-Ghaffar
- Shun Liao
- Andrew Campbell
- Bin Zhu
- Catherine Tong
- Conor Heneghan
- David A. Clifton
- Dina Katabi
- Flora D. Salim
- Hung Manh Pham
- Jiening Zhan
- Karan Ahuja
- Marcus Dige
- Max Rosenblattl
- Menglian Zhou
- Paul Schmiedmayer
- Sizhen Bian
- Thomas Plötz
- Wanting Mao
- Xiao Hu
- Yuan Hang
- Zechen Li
- Zeinab Esmaeilpour
- Aiwei Zhang
- Allan Lawrie
- Anders Johnson
- Andreas Brink-Kjaer
- Andrew C. Miller
- Antonio Luiz P. Ribeiro
- Anupam Pathak
- Daniel Seung Kim
- Euan Ashley
- Fahim Kawsar
- Franklin Y. Ruan
- Gongzheng Tang
- Hao Wang
- Hyatt Moore
- Ian Shapiro
- Jake Sunshine
- Jenny Y. Oh
- Jianhuang Gan
- Jing Yuan
- Joseph Futoma
- Kelly W. Zhang
- Milana Gurbanova
- Mohammad Malekzadeh
- Narayan Schuetz
- Niels R. Lorenzen
- Nils Strodthoff
- Paolo Di Achille
- Rahul Thapa
- Shrikanth Narayanan
- Shyam A. Tailor
- Simon A. Lee
- SouYoung Jin
- Xiangjie Li
- Ya Zhou
- Yize Cai
- Yujie Yang
- Zhiwen Yu
- Aakarsh Anand
- Abram Schonfeldt
- Ahmed Sameh
- Alasdair Gent
- Alberto Signoroni
- Alexandru Solot
- Andrew P. Creagh
- Anlan Yu
- Annette Esper
- Anthony Mazella
- Anthony Z. Faranesh
- Antonio H. Ribeiro
- Asif Salekin
- Augustin Toma
- Baiyu Chen
- Barry Rubin
- Bin Guo
- Bo Liu
- Bo Wang
- Bryan He
- Canhua Xiao
- Cathy Speed
- Cecilia Mascolo
- Christopher G. Tarolli
- Chunlong Tu
- Chuntung Zhuang
- Darren Forde
- David B. Savage
- Deyun Zhang
- Di Zhu
- Dong Ma
- Edoardo Coppola
- Fenglin Liu
- Fengran Wang
- Franjo Husam Naji
- Gauri Ganjoo
- Gregory Darnell
- Guo Zhang
- Guobin Shen
- Guosong Gao
- Haraldur Hallgrimsson
- Hong Jia
- Hongyan Li
- Huatao Xu
- Hyewon Jeong
- Ivan Nenadic
- Jacob Kariuki
- Javier L. Prieto
- Jaya Narain
- Jiang Wu
- Jinpei Han
- Jinshi Cui
- Jinyang Wu
- Jonathan Gershuny
- Junshi Lu
- Kaden McKeen
- Karthik J. Raghuram
- Lei Clifton
- Li Wang
- Magnus Ruud Kjaer
- Magnus Ruud Kjær
- Marat Fudim
- Marco Metra
- Marianna Adamo
- Márton Á Goda
- Mattia Savardi
- Mauro Massussi
- Md Hassanuzzaman
- Mihai V Podgoreanu
- Mingke Yan
- Minxiao Wang
- Mithun Saha
- Mo Li
- Mohammad Moulaeifard
- Pengfei Zhou
- Philip Yang
- Poul Jennum
- Rebecca A. Gary
- Richard Fineman
- Rishikesan Kamaleswaran
- Rui Tan
- Runze Yan
- Sameer Masood
- Sameer Neupane
- Santosh Kumar
- Sarah Jiang
- Shawn Xu
- Shirley Ren
- Silviu Borac
- Sivasubramanium Bhavani
- Siyu Yuan
- Siyuan Qiao
- Sriram Sankararaman
- Suresh Mitu Agarwal
- Tauhidur Rahman
- Tilendra Choudhary
- Ting Dang
- Vassilis Kostakos
- Veer Sangha
- Vijay Krishnamoorthy
- Wei Tang
- Wei Wang
- Wenlong Wu
- Xiao Gu
- Xiao Ma
- Xiaocheng Fang
- Xintong Li
- Yang Zhang
- Yiming Zhang
- Ying-Cong Chen
- Yingcheng Liu
- Yixin Xu
- Yizhang Yang
- Yogatheesan Varatharajah
- Yufen Lin
- Yuhua Wu
- Yujie Xiao
- Yunfei Luo
- Yunhuai Liu
- Zak Loring
- Zhangdaihong Liu
- Zhou Pan
- Ziga Mrak
- Zikang Leng
- Aaron Aguirre
- Abhishek Varghese
- Adrien Specht
- Aitazaz Khan
- Aleksandar Videnovic
- Alessio Burrello
- Alexander Schubert
- Alexandros Koliousis
- Alireza Dirafzoon
- Alistair Brownlee
- Amir Mousavi
- Amy Bearman
- Anand Paul
- Andrea Madotto
- Angus Burns
- Anil K. Gehi
- Anna Vybornova
- Anshuman Mishra
- Aparajita Saraf
- Ari Winbush
- Arlene Wurzner-Ghajarzadeh
- Artur Xavier
- Babak Behsaz
- Babak Damavandi
- Baoshen Guo
- Benjamin Yetton
- Brandon Westover
- Brent Winslow
- Cameron Crawford
- Che Liu
- Cheng Ding
- Chengchen Zhao
- Chengyu Liu
- Chenxi Sun
- Chenxi Yang
- Chenzhong Li
- Christina Chen
- Christopher Sun
- Cory Y. McLean
- Cynthia Rudin
- Cyrus Tanade
- Daniel Crepeau
- Daniel P. Darcy
- Daniele Jahier Pagliari
- David G. T. Barrett
- David Yang
- Dejan Dinevski
- Desheng Zhang
- Dezhi Hong
- Diego Ardila
- Dimitrios Adamos
- Diyan Teng
- E. Ray Dorsey
- Eideen Mozaffari
- Elisabeth Roxane M. Heremans
- Eloy Geenjaar
- Emad Muteb Alharbi
- Emma M. Waddell
- Emmanuel H. During
- Enrico Macii
- Eray Erturk
- Erfan Nourbakhsh
- Eric S. Teasley
- Erietta Polychronopoulou
- Eugene Hwang
- Fahad Kamran
- Faraaz Akhtar
- Fei Wu
- Francesco Carlucci
- Gari Clifford
- Giovanni Pollo
- Gouthaman KV
- Greg S. Corrado
- Gregoire Wuerzner
- Guilherme Henrique Gomes Evangelista
- Hafsa Ahmed
- Haitao Li
- Haiteng Jiang
- Hamid Palangi
- Hamza Shafiq
- Hanyu Cui
- Hao Chen
- Hao Zhou
- Hao-Wei Su
- Haotian Tang
- Haotian Wang
- Harrison G. Zhang
- Harsh Sharma
- He-yang Xu
- Hibah Qasem Salman Alatawi
- Hong Yu
- Hongkun Zhang
- Hongxiang Gao
- Hye-Bin Shin
- Hyo Jin Kim
- Isaac Galatzer-Levy
- Jacob Sunshine
- James A. Taylor
- James Smith
- Jameson K. Rogers
- Jamie L. Adams
- Jan Bukartyk
- Jawhara Bader Aljabri
- Jed McGiffin
- Jianqing Li
- Jiansong Gao
- Jing Wang
- Jingbo Shang
- Joachim A Behar
- John Davis
- John Hernandez
- John Quarles
- Jonathan Wang
- Josep Sola
- Joseph Breda
- Juhyeon Lee
- Julia M. Soto
- Jun Hu
- Junior Moura
- Jussi Hernesniemi
- Justin Sung
- Kai-Chun Liu
- Kara Vaillancourt
- Karl Kieburtz
- Karlo J. Lizarraga
- Keerthana Natarajan
- Ken Gu
- Keum San Chun
- Kiet Chu
- Kim Branson
- Konstantinos Barmpas
- Kousalya Prabahar
- Kyriakos Eleftheriou
- Laleh Najafizadeh
- Lanhai Zhong
- Lauren Harrell
- Lawrence Cai
- Leslie Neely
- Levi Albuquerque
- Li Zhu
- Lie Lu
- Lindsey Sunden
- Longbo Wang
- Luca Benini
- Manimurugan Shanmuganathan
- Mariam Jabara
- Marius Guerard
- Massimo Poncino
- Max Enderlein
- Mayank Daswani
- Md Mahbubur Rahman
- Megha Thukral
- Meghan E. Pawlik
- Mehrab Bin Morshed
- Melissa C. Lipford
- Mengjia Chen
- Migyeong Gwak
- Mimi Xie
- Minghui Zhao
- Mithri R. Junna
- Mohammad Sadegh Sirjani
- Mohammed J. Zaki
- Mohit Iyyer
- Myeong-Ju Cho
- Na Lee
- Naghmeh Rezaei
- Narmatha Chellamani
- Nicholas B. Allen
- Nicholas J Foti
- Nikolaos Laskaris
- Nolan Wilson
- Oussama Elachqar
- Palanisamy Amirthalingam
- Pan Zhou
- Patrick Schwab
- Prithviraj Tarale
- Qian Li
- Raghav Sriram
- Rajesh K. Gupta
- Rajesh Kumar
- Ranak Roy Chowdhury
- Randall J Lee
- Ravi S. Aysola
- Ray Dorsey
- Renee M. Wilson
- Robin Guillard
- Rocío Mexía Díaz
- Rocky Slavin
- Rongrong Fu
- Rumen Hristov
- Ruth B. Schneider
- Saba Emrani
- Saleh Ali Albelwi
- Samuel Solomon
- Sandra A. Billinger
- Scott Daly
- Sean Jewell
- Sebastien Baur
- Seo-Hyun Lee
- Seong-Whan Lee
- Seungwhan Moon
- Sharanya Arcot Desai
- Shravya Shetty
- Shreyank N. Gowda
- Shruthi Prabhakara
- Shuheng Li
- Shuxin Zhong
- Sibylle Fallet
- Sinead Williamson
- Sirui Li
- Songlin Xu
- Sophia Claire Kivelson
- Srinivasan Parthasarathy
- Stefanos Zafeiriou
- Stella Jensen-Roberts
- Subramaniam Venkatraman
- Sujay Kakarmath
- Sunghoon I. Lee
- Taylor L. Myers
- Terry D. Ellis
- Tian He
- Ting Chen
- Trisha Mittal
- Udhyakumar Nallasamy
- Ulysse Gimenez
- Umaer Hanif
- Vaidotas Marozas
- Venkatesh L. Murthy
- Vince Calhoun
- Viswam Nathan
- Wagner Meira Jr
- Wei Zhao
- Wei-Hung Weng
- Weichao Pan
- Weinan Wang
- Weizhi Zhang
- Wenjun Lyu
- William Theodor Lehn-Schioler
- Xiaying Wang
- Xidong Wu
- Xingyao Wang
- Xingzhi Sun
- Xiyuan Zhang
- Xuesen Chu
- Yannis Panagakis
- Yi Ding
- Yifan Wang
- Yiheng Mao
- Yossi Matias
- Youyao Xu
- Yuan Yuan
- Yubin Kim
- Yue Chen
- Yuekai Xu
- Yujian Hu
- Yujie Li
- Yuwen Li
- Yuxuan Shu
- Yuyao Zhu
- Zelong Li
- Zhaojiang Lin
- Zhaoliang Chen
- Zhenghuang Wu
- Zhengxing Huang
- Zhengyao Ding
- Zhicheng Guo
- Zhihan Zhang
- Zhikang Li
- Zhipeng Cai
- Zhiyuan Wang
- Zhuoyuan Li
- Ziad Obermeyer
- Ziyi Liu
- Ziyu Li
- Abdelrhman Y. Soliman
- Abdolrahman Peimankar
- Ahmed M. Nor
- Ahmed S. Mubark
- Akshay Paruchuri
- Alexander Bräuer
- Amal Alissa
- Amirhossein Taleshinosrati
- Andrius Petrėnas
- Andrius Sološenko
- Atitaya Phoemsuk
- Bahram Tarvirdizadeh
- Benjamin Cauchi
- Bo Wu
- Brian Caulfield
- Chen Chen
- Chenyang Xu
- Christopher G. Scott
- Clemens Becker
- Cong Fu
- Daniel Teichmann
- Dennis Wang
- Dominique Nshimyimana
- Donglin Xie
- Edgar Eggert
- Ehsan Adeli
- Enikö Vargova
- Eunjung Lee
- Favour Nerrise
- Feng Xu
- Francisco Lopez-Jimenez
- Georgiana Ifrim
- Goodarz Danaei
- Grace Lin
- Guifeng Deng
- Hanbang Hua
- Hanieh Mohammadi
- Haoling Wang
- Huan Yu
- Ilaria D'Ascanio
- Jaden Moon
- Jae K. Oh
- James Ross
- Jatin Bedi
- Jiabao Zhu
- Jiawei Wang
- Jochen Klenk
- Juan Delgado-SanMartin
- Jwan A. Naser
- Kaiwen Zha
- Kateryna Shapovalenko
- Kevin L. Kilgore
- Khalil Alipour
- Kindeep K. Dhatt
- Lianggang Pan
- Loïc Coquelin
- Lorenzo Chiari
- Luca Palmerini
- Mantas Rinkevičius
- Markus Lingman
- Markus Neufeld
- Michael Beigl
- Michael Küttner
- Mihir Joshi
- Miray Gunay Bulut
- Mohamed Hammad
- Mohammad Asadi
- Mohammad Ghamari
- Mounir Ghogho
- Nando Hegemann
- Naser Hossein Motlagh
- Nouhaila Fraihi
- Octavian Fratu
- Omar S. Latif
- Osama A. Omer
- Oskar Pfeffer
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- Sparsh Rastogi
- Supraja Ramesh
- Tanmay Kumar
- Tengyue Wu
- Tianhong Li
- Timilehin B. Aderinola
- Timothy Nordahl
- Tobias Röddiger
- Vahid Abolghasemi
- Wei Qiu
- Xiaoyu Li
- Xueying Gui
- Yangyang Wang
- Yayun Du
- Yelei Li
- Yi Wang
- Yixuan Duan
- Yu Guan
- Yu Wu
- Yuntian Wu
- Yutian Zhu
- Yuze Bai
- Zachi I. Attia
- Zhuodiao Kuang
What the links mean
- Authored by 1,589
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- Affiliated with 277
- An organization named in the author's affiliation text. It does not imply current employment.
- Uses dataset 949
- A model or paper that trains on, tests on or reports results on a dataset.
- Uses signal 2,586
- A record that uses a signal, from the standard signal names used across the hub.
- Paper and model 145
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- Compared on a leaderboard 130
- Two entries ranked on the same leaderboard, or a key result and a baseline that is also in the hub.