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See how 115 models, 458 papers, 278 datasets, 576 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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The same 1,515 nodes and 4,018 links as text, most connected first. Every link comes from the hub records; nothing is inferred.
Models 115
- SensorFM (Google) · paper: SensorFM: Toward a General Intelligence and Interface for Wearable Health Data · PPG, IMU, Temp, EDA, Barometer
- PaPaGei-S · paper: PulseLM: A Foundation Dataset and Benchmark for PPG-Text Learning, Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis and 10 more · uses WESAD, PPG-DaLiA, VitalDB, MESA Sleep, PPG-BP Database (Guilin / Liang 2018), VitalVideos and 2 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 1 more · IMU, ECG, EEG, Text
- SensorLM · paper: SensorLM: Learning the Language of Wearable Sensors, Insulin Resistance Prediction from Wearables and Routine Blood Biomarkers · PPG, IMU, Temp, HR, SpO₂
- AnyPPG · paper: Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis, PPG-Bench: A Unified Benchmark for PPG Foundation Models and 4 more · uses WESAD, PPG-DaLiA, MESA Sleep, Brno University of Technology Smartphone PPG Database (BUT PPG), Stanford wrist PPG AF (DeepBeat), WildPPG and 5 more · PPG, ECG
- Google LSM-2 / AIM · paper: LSM-2: Learning from Incomplete Wearable Sensor Data · PPG, IMU, Temp, EDA, 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, EMG, EOG
- Pulse-PPG · paper: Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis, PPG-Bench: A Unified Benchmark for PPG Foundation Models and 8 more · uses WESAD, PPG-DaLiA, PPG-BP Database (Guilin / Liang 2018), MOODS · PPG
- CardioState-JEPA · paper: Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis, PPG-Bench: A Unified Benchmark for PPG Foundation Models and 4 more · uses PPG-DaLiA, WildPPG · PPG, ECG, PCG
- Google LSM · paper: Scaling Wearable Foundation Models (LSM) · IMU, Temp, HR
- TEX-MEX · paper: Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis, PPG-Bench: A Unified Benchmark for PPG Foundation Models and 8 more · uses WESAD, PPG-DaLiA, PPG-BP Database (Guilin / Liang 2018), MOODS, SDB · PPG
- xMAE · paper: xMAE: Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning · uses Samsung Galaxy Watch PPG pretraining corpus (~32K users, ~17M 10-s segments; private), Samsung BP lab study, Samsung BP free-living study, Samsung AFib/PVC study · PPG, ECG
- NormWear-2 · paper: NormWear: Toward Foundation Model for Multivariate Wearable Sensing of Physiological Signals, Toward World Modeling of Physiological Signals with Chaos-Theoretic Balancing and Latent Dynamics and 1 more · uses WESAD, VitalDB · PPG, IMU, ECG, EEG, Resp, Temp, HR, BP, Glucose
- PulseLM · paper: PulseLM: A Foundation Dataset and Benchmark for PPG-Text Learning · uses WESAD, PPG-DaLiA, WildPPG, Long-term ECG and wrist PPG with annotated AF episodes (AFPPGECG), MIMIC PERform · PPG, Text
- CogAdapt · paper: CogAdapt: Adapting Clinical ECG Foundation Models for Wearable Cognitive Load Assessment, ECG-FM: An Open Electrocardiogram Foundation Model · ECG
- 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
- MSMA-PPG · paper: Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis, PPG-Bench: A Unified Benchmark for PPG Foundation Models and 3 more · uses PPG-DaLiA, WildPPG, EarSet · PPG, IMU
- HiPPT · paper: Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis, PPG-Bench: A Unified Benchmark for PPG Foundation Models and 4 more · uses PPG-DaLiA · PPG, Text
- CardioFM · paper: CardioFM: A Multimodal Foundation Model for Joint ECG and PPG Representation Learning · uses PTB-XL · PPG, 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: NormWear: Toward Foundation Model for Multivariate Wearable Sensing of Physiological Signals, Toward World Modeling of Physiological Signals with Chaos-Theoretic Balancing and Latent Dynamics 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
- 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, EMG, EOG
- VitalAgent · paper: VitalAgent: A Tool-Augmented Agent for Reactive and Proactive Physiological Monitoring over Wearable Health Data · uses WESAD, PPG-DaLiA, Long-term ECG and wrist PPG with annotated AF episodes (AFPPGECG) · PPG, ECG, Text
- DNA-PPG · paper: DNA-PPG: A Foundation Model for Photoplethysmography via Dual Neighborhood Alignment · uses WESAD, PPG-DaLiA · PPG
- 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), Brno University of Technology Smartphone PPG Database (BUT PPG), Stanford wrist PPG AF (DeepBeat) and 3 more · PPG, ECG
- ECGFounder · paper: ECGFounder: An ECG Foundation Model Built on 10+ Million Recordings · uses PTB-XL · ECG
- Geenjaar multimodal-supervision PPG FM · paper: A robust PPG foundation model using multimodal physiological supervision · uses PPG-DaLiA, VitalVideos, EEVR · PPG
- 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
- 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 CAPTURE-24 · IMU
- IMUGPT · paper: VSMP-IMU: Video-Grounded Semantic Motion Programs for Sensor-Aware Synthetic IMU Generation, Evaluating Sources of Diversity in Text-Driven IMU Synthesis for Wearable Human Activity Recognition and 1 more · uses PAMAP2, RealWorld HAR · IMU
- 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, EMG, EOG
- 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) · ECG, EEG, Resp, SpO₂, EMG, EOG
- Apple WBM (Wearable Behavioral Model) · paper: Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions (WBM)
- 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
- IMU2CLIP · paper: IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and Text · 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, MHEALTH, OpenWatch, HHAR · 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
- RAE-PPG · paper: RAE-PPG: Duration-Grounded Retain-and-Extend Pretraining for PPG Foundation Models · uses WESAD, PPG-DaLiA, VitalDB, Brno University of Technology Smartphone PPG Database (BUT PPG), DREAMT, 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 RealWorld HAR, CAPTURE-24, WISDM AR v1.1 · 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
- HuBERT-ECG · paper: HuBERT-ECG: A Self-Supervised Foundation Model for Broad and Scalable Cardiac Applications · ECG
- 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), STAGES, Cleveland Family Study (CFS) · EEG, EMG, EOG
- TF-MambaNet · uses WESAD, PPG-DaLiA, BIDMC PPG and Respiration (Pimentel 2016 / PhysioNet), PPG-BP Database (Guilin / Liang 2018), MIMIC PERform, SDB and 1 more · PPG
- 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
- CLEF · paper: CLEF: Clinically-Guided Contrastive Learning for Electrocardiogram Foundation Models · ECG
- ECG-FM · paper: ECG-FM: An Open Electrocardiogram Foundation Model · ECG
- 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
- SOTER · paper: Training and Scaling Compute-Optimal Physiological Waveform Foundation Models · uses WESAD, ScientISST MOVE: Annotated Wearable Multimodal Biosignals recorded during Everyday Life Activities in Naturalistic Environments · PPG, ECG, EEG, EDA
- Aether · paper: Training and Scaling Compute-Optimal Physiological Waveform Foundation Models · uses MIMIC-III Waveform MATCHED · PPG, ECG, Resp, BP
- AnyMo · paper: AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild · uses PAMAP2, RealWorld HAR, WISDM AR v1.1, OPPORTUNITY · IMU
- HALO · paper: HALO: A Heterogeneity-Aware Language-Aligned IMU Foundation Model for Open-Set Human Activity Recognition · uses PAMAP2, RealWorld HAR, WISDM AR v1.1, OPPORTUNITY · IMU
- ProtoMM (Pulse-Motion) · paper: ProtoMM: Shared Prototypes for a Multimodal Pulse-Motion Foundation Model · uses WESAD, PPG-DaLiA, MOODS · PPG, IMU
- StepFM · paper: Physical activities enable scalable foundation modelling for broad-spectrum health prediction (StepFM) · IMU, Activity
- Text2IMU · paper: Text2IMU: Advancing Human Activity Recognition by Text-Driven IMU Data Synthesis, Evaluating Sources of Diversity in Text-Driven IMU Synthesis for Wearable Human Activity Recognition · uses PAMAP2, RealWorld HAR, WISDM AR v1.1 · 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
- 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 Galaxy Watch PPG pretraining corpus (~32K users, ~17M 10-s segments; private), Samsung BP lab study, Samsung BP free-living study, Samsung AFib/PVC study · PPG
- IECG · uses PTB-XL, MIMIC-IV-ECG, Chapman–Shaoxing–Ningbo 12-lead ECG arrhythmia database (PhysioNet) · ECG, Text
- M2AE (Biosignal Fingerprinting) · paper: Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation Model · uses VitalDB, PulseDB v2.0 · PPG, ECG
- PulseOx-FM · paper: A foundation model of wearable pulse oximetry reveals physiological signatures of health and cardiometabolic risk (PulseOx-FM) · uses VitalDB · PPG, HR, SpO₂
- Samsung MMR · uses Samsung Galaxy Watch PPG pretraining corpus (~32K users, ~17M 10-s segments; private), Samsung BP lab study, Samsung BP free-living study, Samsung AFib/PVC study · PPG
- CM-TCC (Cross-Modal Temporal and Contextual Contrasting; ECG + ACC encoders, Emognition) · uses WESAD, MHEALTH · IMU, 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 · HR, SpO₂, Activity
- MIRA · PPG, ECG, EEG, EHR
- Multimodal EEG World Model (wearable EEG, ECG/EMG/movement-conditioned latent transition SSL) · IMU, ECG, EEG, EMG
- 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
- PhysioOmni · ECG, EEG, EMG, EOG
- PPG-Distill · paper: PPG-Distill: Efficient Photoplethysmography Signals Analysis via Foundation Model Distillation · uses PPG-DaLiA, Stanford wrist PPG AF (DeepBeat) · PPG
- PPG-LM · paper: PPG-LM: A Photoplethysmography–Language Model with Multi-Level Clinical Alignment · uses VitalDB · 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) · ECG
- SPOTR · paper: SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning · 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 · ECG
- EdgeHAR · paper: EdgeHAR: An Edge-Native Compact Sensor Foundation Model for Human Activity Recognition · uses PAMAP2 · IMU
- 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
- QUMPHY D1 PPG benchmark checkpoints (BP + AF; ResNet18 image / TCN / MLP) · uses PulseDB v2.0, Stanford wrist PPG AF (DeepBeat) · PPG
- 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
- WavesFM · paper: WavesFM: Hierarchical Representation Learning for Longitudinal Wearable Sensor Waveforms · PPG, IMU
- xECG · paper: BenchECG and xECG: a benchmark and baseline for ECG foundation models (xLSTM) · uses Stanford wrist PPG AF (DeepBeat) · ECG
- 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
- BrainPro (NTU; process-conditioned, topographic-retrieval EEG FM) · paper: BrainPro: Process-conditioned Pretraining with Topographic Retrieval for Large EEG Models · 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
- 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
- MS-ECG-FM · paper: MS-ECG-FM: Towards a More Universal Electrocardiogram Foundation Model for Health Monitoring using Multi-source Contrastive Learning · ECG
- Personal Health Agent (PHA; Google multi-agent framework over wearable + medical data) · Text, EHR
- RL-PPG (Real-Life PPG encoder; Emognition) · paper: Take it Personally: The Limits of General SSL Representations for Real-Life PPG Emotion Detection · PPG
- Sensori · uses CAPTURE-24 · IMU
- wHuBERT · PPG, IMU
- FLOW · paper: FLOW: Feature-Level Optimal Warping for Generalized Remote Physiological Measurement
- IMUDINO · IMU
- MS-rPPG · paper: MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems
- PhysFormer · paper: PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer
Datasets 278
- WESAD · used by 46 records · PPG, IMU, ECG, Resp, Temp, EDA
- PPG-DaLiA · used by 40 records · PPG, IMU, ECG, Resp, Temp
- VitalDB · used by 28 records · PPG, ECG, Resp, BP
- PAMAP2 · used by 20 records · IMU, Temp, HR
- PulseDB v2.0 · used by 18 records · PPG, ECG, BP
- PTB-XL · used by 17 records · ECG
- BIDMC PPG and Respiration (Pimentel 2016 / PhysioNet) · used by 13 records · PPG, ECG, Resp, SpO₂
- MESA Sleep · used by 10 records · PPG, IMU, ECG, EEG, Resp, PSG
- Brno University of Technology Smartphone PPG Database (BUT PPG) · used by 13 records · PPG, ECG
- RealWorld HAR · used by 13 records · IMU, Audio
- Stanford wrist PPG AF (DeepBeat) · used by 14 records · PPG
- CAPTURE-24 · used by 12 records · IMU
- WISDM AR v1.1 · used by 12 records · IMU
- PPG-BP Database (Guilin / Liang 2018) · used by 11 records · PPG
- Sleep Heart Health Study (SHHS, NSRR) · used by 7 records · ECG, EEG, Resp, SpO₂, PSG
- WildPPG · used by 7 records · PPG, IMU, ECG, Temp, Barometer
- DREAMT · used by 5 records · PPG, IMU, Temp, EDA, PSG
- MrOS Sleep Study (Osteoporotic Fractures in Men, NSRR) · used by 5 records · ECG, EEG, Resp, SpO₂, PSG
- OPPORTUNITY · used by 9 records · IMU
- UCI Cuff-Less Blood Pressure Estimation (UCI 340; Kachuee 2015) · used by 7 records · PPG, ECG, BP
- Long-term ECG and wrist PPG with annotated AF episodes (AFPPGECG) · used by 6 records · PPG, IMU, ECG
- mcPHASES: A Dataset of Physiological, Hormonal, and Self-reported Events and Symptoms for Menstrual Health Tracking with Wearables · used by 2 records · Resp, Temp, HR, SpO₂, Glucose, HRV, Activity
- STAGES · used by 2 records · PPG, IMU, ECG, EEG, Resp, SpO₂, PSG
- AAUWSS · PPG, IMU, ECG, EEG, Temp, EDA, PSG, EOG
- BIG IDEAs Lab Glycemic Variability and Wearable Device Data · used by 3 records · PPG, IMU, Temp, EDA, Glucose
- Cleveland Family Study (CFS) · used by 6 records · PPG, PSG
- ECSMP · used by 2 records · PPG, IMU, ECG, EEG, Temp, EDA
- K-EmoCon · used by 1 record · PPG, IMU, ECG, EEG, Temp, EDA, HR
- MHEALTH · used by 7 records · IMU
- MIMIC PERform · used by 4 records · PPG, ECG, Resp, BP
- NHANES 2011-2012 Physical Activity Monitor - Raw Data 80hz (PAX80_G) · used by 7 records · IMU
- A Multimodal Dataset for Investigating Working Memory in Presence of Music · PPG, IMU, ECG, EEG, Resp, Temp, EDA
- AQUASET · PPG, IMU, ECG, EEG, Temp, EDA, HRV
- Barcelona SICU signals · PPG, ECG, EEG, Resp, HR, SpO₂, BP
- Bed-Based BCG (Carlson, K-State) · used by 2 records · PPG, ECG, Resp, BP, BCG
- Chapman–Shaoxing–Ningbo 12-lead ECG arrhythmia database (PhysioNet) · used by 6 records · ECG
- Gyro-Acc-PPG (BAMI-I, Wonkwang) · used by 4 records · PPG, IMU, ECG
- IEEE Signal Processing Cup 2015 (TROIKA) · used by 4 records · PPG, IMU, ECG
- MIMIC-IV-ECG · used by 6 records · ECG
- MOODS · used by 5 records · PPG, IMU
- OSASUD · used by 1 record · PPG, ECG, Resp, HR, SpO₂, PSG
- SDB · used by 5 records · PPG, SpO₂
- UCSF ICU bedside-monitor waveforms (private; GPT-PPG / SiamQuality / SQUWA pretraining) · used by 4 records · PPG, ECG, Resp
- UK Biobank wrist accelerometer (Axivity AX3 / field 90001) · used by 6 records · IMU
- VitalVideos · used by 6 records · PPG
- Wearanize+ OA · PPG, IMU, EEG, Temp, EDA, PSG, EOG
- Auricle · PPG, IMU, ECG, Resp, BP, Audio
- BP4D-Dyadic / Inter-Stance · PPG, Resp, EDA, BP, Video, Audio
- DOSE-I · PPG, ECG, EEG, Resp, HR, SpO₂
- EarSet · used by 2 records · PPG, IMU, ECG, Resp
- 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
- MIMIC-BP · used by 2 records · PPG, ECG, Resp, BP
- MIMIC-III Waveform MATCHED · used by 4 records · PPG, BP
- MIMIC-III-Ext-PPG · used by 2 records · PPG, ECG, Resp, BP
- MIMIC-IV Waveform Database (PhysioNet preview) · used by 2 records · PPG, ECG, Resp, BP
- Pulse Transit Time PPG · used by 3 records · PPG, IMU, ECG
- Radboud PTT PPG+BP (Mol 2020) · PPG, ECG, Resp, Temp, SpO₂, BP
- Simultaneous physiological measurements with five devices at different cognitive and physical loads · PPG, IMU, ECG, Resp, HR, SpO₂
- Stillness 2025 (Deichman) · IMU, ECG, Resp, Temp, HR, HRV
- Tutunji prolonged stress · PPG, IMU, Temp, EDA, HR, HRV
- UQVitalSigns · used by 1 record · PPG, ECG, Resp, SpO₂, BP
- ZU-PWD '25 · IMU, Resp, Temp, EDA, HR, HRV
- A Longitudinal and Multimodal physiological signals dataset of Para handcycling training and race for SCI Rehabilitation · IMU, ECG, Resp, Temp, SpO₂
- AI-READI · IMU, ECG, HR, SpO₂, Glucose
- BP4D+ / MMSE · Resp, EDA, HR, BP, Video
- Emognition · PPG, IMU, EEG, Temp, EDA
- EmpaticaE4Stress (workplace cognitive stress) · used by 1 record · PPG, IMU, Temp, EDA
- EPIStress (epilepsy cognitive stress, E4+Muse) · PPG, IMU, EEG, Temp, EDA
- ForDigitStress · PPG, IMU, EEG, Temp, EDA
- GalaxyPPG · used by 1 record · PPG, IMU, ECG, Temp
- GroupAffect-4 · PPG, IMU, Temp, EDA, Audio
- MAHNOB-HCI · PPG, ECG, EEG, Resp, Video
- MBB-AVR · PPG, ECG, EEG, Resp, EDA
- MEFAR · PPG, IMU, EEG, Temp, EDA
- MFD · PPG, ECG, EEG, EOG, BCG
- Office Everyday MWL (MW_OFFICE, n=10 E4) · PPG, IMU, EEG, Temp, EDA
- OpenOximetry Repository (PhysioNet Restricted) · PPG, ECG, Resp, SpO₂, BP
- OpenWatch · used by 3 records · PPG, IMU
- Samsung AFib/PVC study · used by 4 records · PPG
- 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
- SONATA · PPG, ECG, Resp, Temp, EDA
- Towards On-Device Dehydration Monitoring Using Machine Learning from Wearable Device's Data (Shimmer3 GSR+ raw dataset) · PPG, IMU, Temp, EDA, Barometer
- UNIVERSE (mental workload + stress, ~315h E4) · PPG, IMU, EEG, Temp, EDA
- VerBIO · PPG, IMU, ECG, Temp, EDA
- WARM-VR · PPG, IMU, ECG, Temp, EDA
- ADARP (AUD EMA stress, E4) · PPG, IMU, Temp, EDA
- BIOSTRESS (psychologist induction + exam) · PPG, IMU, Temp, EDA
- CAN-STRESS (ambulatory E4 stress 0–9) · PPG, IMU, Temp, EDA
- CLAS · PPG, IMU, ECG, EDA
- D1NAMO · IMU, ECG, Resp, Glucose
- Daily and Sports Activities · used by 3 records · IMU
- DAPPER · PPG, IMU, Temp, EDA
- E4 Stress + Exercise (PhysioNet wearable-device-dataset) · PPG, IMU, Temp, EDA
- EEVR · used by 2 records · PPG, EDA
- EmoWear (E4 SAM affect) · PPG, IMU, Temp, EDA
- ESCOLAR · PPG, IMU, Temp, EDA
- HealthRing RingDatasetV2.1 · PPG, IMU, ECG, Resp
- Human Sleep Project (BDSP) · used by 2 records · PPG, PSG
- Landry ADL · PPG, IMU, ECG, BP
- LAUREATE · PPG, IMU, Temp, EDA
- 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, Temp, EDA
- Multi-site PPG (Earring / Necklace / Ring / Watch) · PPG, IMU, ECG, Temp
- Multimodal Micromobility Stress Dataset · PPG, IMU, Temp, EDA
- MW-PPG-HR · used by 1 record · PPG, IMU, ECG
- nuMoM2b · used by 2 records · PPG, PSG
- NURSE (hospital stress, E4, Dryad) · PPG, IMU, Temp, EDA
- PhyMER · PPG, EEG, Temp, EDA
- PhysDrive · PPG, ECG, Resp, Video
- Pulsewatch · used by 1 record · PPG, IMU, ECG
- Regulation of Brain Cognitive States through Auditory, Gustatory, and Olfactory Stimulation with Wearable Monitoring · PPG, IMU, EEG, EDA
- SensSmartTech · PPG, IMU, ECG, PCG
- Sleep-EDF Database Expanded (PhysioNet) · EEG, Resp, Temp, PSG
- SRF cognitive adaptation · PPG, EEG, Resp, EDA
- Stress-Predict Dataset (E4, MIT) · PPG, IMU, Temp, EDA
- Three-wearable · PPG, IMU, Temp, EDA
- TILES-2018 · used by 1 record · PPG, IMU, ECG
- Treadmill fatigue · PPG, ECG, EDA, HR
- Two-wearables placements · PPG, IMU, Temp, EDA
- UBFC-Phys · used by 1 record · PPG, EDA, rPPG
- UTSA-PPG · used by 1 record · PPG, IMU, ECG
- Walker posture E4 · PPG, IMU, Temp, EDA
- WenXinWuYang · used by 2 records · PPG, ECG
- 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
- BrisT1D-Open · HR, Glucose, Activity
- CACHET-CADB: A Contextualized Ambulatory Electrocardiography Arrhythmia Dataset · IMU, ECG, Barometer
- CapnoBase IEEE TBME RR benchmark (Karlen 2013) · PPG, ECG, Resp
- CinC / PhysioNet Challenge 2015 · PPG, ECG, BP
- CODE-15%: large annotated 12-lead ECG dataset (Telehealth Network of Minas Gerais) · used by 2 records · ECG
- COHFACE · PPG, Resp, Video
- Continuous cuffless BP via graphene bioimpedance tattoos (PhysioNet) · PPG, BP, Bioimpedance
- HEART-Watch · PPG, IMU, ECG
- HHAR · used by 2 records · IMU
- IMU50 · PPG, IMU, Temp
- Lightweight BP Estimation (Yongjian Li) · PPG, ECG, BP
- MCD-rPPG · PPG, ECG, Video
- MISSION1BP-GMU-KIME · PPG, IMU, ECG
- MPU-rPPG · PPG, SpO₂, Video
- Muse S Athena sensor-failure recordings · PPG, ECG, EEG
- MyMove · used by 1 record · IMU, HR
- NeuroBioSense · PPG, Temp, EDA
- OpenNeuro ds007537 · PPG, EEG, EDA
- Podcast playback-speed physio · PPG, EEG, EDA
- PPG-Sport · PPG, IMU, ECG
- QoL_Stress · ECG, EDA, HR
- SCAMPS · PPG, Resp, Video
- Sensors Aguirre 2021 · used by 1 record · PPG, BP
- Tricam-rPPG · PPG, IMU, Video
- UCI Human Activity Recognition Using Smartphones (UCI-HAR) · used by 2 records · IMU
- USC-HAD · used by 2 records · IMU
- Valparaíso Finapres NOVA set · PPG, ECG, BP
- WF-PPG · PPG, ECG, SpO₂
- Wrist PPG During Exercise (PhysioNet wrist) · PPG, IMU, ECG
- μDPad · used by 1 record · PPG, IMU
- ArWISE Vol4 · IMU, HR
- Biagetti wrist PPG + ACC · PPG, IMU
- 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
- COVID Lockdown Gear Sport (longitudinal wearable + EMA) · PPG, IMU
- CRHE · used by 1 record · PPG
- DEO · used by 1 record · IMU
- ECG-Fitness · ECG, Video
- EchoNext-Mini · used by 1 record · ECG
- 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
- HARTH · used by 1 record · IMU
- 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
- Icentia11k single-lead continuous raw ECG (PhysioNet) · used by 1 record · ECG
- IoMT-SecAlarmBench (semi-synthetic ECG+PPG attack benchmark) · PPG, ECG
- LGI-PPGI · PPG, Video
- Loneliness-FI · PPG, IMU
- 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 Supraventricular Arrhythmia Database (PhysioNet) · used by 1 record · ECG
- MMPD · PPG, Video
- MMSE-HR · PPG, Video
- Motion and heart rate from a wrist-worn wearable and labeled sleep from polysomnography · IMU, HR
- PAAWS R1 · used by 1 record · IMU
- PM-EKF energy expenditure · IMU, ECG
- PPG-BGL Smartwatch (Bhatia & Ekbote 2026 / Zenodo 20577959) · PPG, Glucose
- PPGArrhythmia (Liu 2022) · used by 1 record · PPG
- PSGWatch · used by 1 record · IMU
- PSU Sternberg EEG-ECG · ECG, EEG
- Pulse Wave Database (PWDB) · PPG, BP
- PURE · PPG, Video
- Real-World PPG Dataset (Siam et al. / Mendeley) · used by 1 record · PPG
- Respiratory and Pulse Oximetry Waveforms from Healthy Adults During Simulated Apnoea Events · PPG, Resp
- RLAP · PPG, Video
- Smartwatch PPG paired with CGM glucose (Zenodo) · PPG, Glucose
- St Petersburg INCART 12-lead Arrhythmia Database (PhysioNet) · used by 1 record · ECG
- STU-BA PPG Blood Glucose Dataset (Zenodo) · PPG, IMU
- ToLife · PPG, ECG
- UCI HAPT · used by 1 record · IMU
- VIPL-HR · PPG, Video
- VIPL-HR-V2 · PPG, Video
- VitalDB Arrhythmia · used by 1 record · ECG
- Yunnan dual-wavelength PPG + ECG + pressure pulse wave (102 subj, 1000 Hz) · PPG, ECG
- ZCHSound · used by 1 record · Audio
- τ-Ring dataset (thuhci/RingTool) · PPG, IMU
- AFPDB · ECG
- Airwave Health Monitoring Study · PPG
- ALAMEDA · IMU
- AssemblyHAR · IMU
- BandX-Activity · IMU
- CLBP-400 · PPG
- Clemson Pedometer Evaluation dataset · IMU
- Daphnet Freezing of Gait · IMU
- DeepVerify · Video
- EESM19 · IMU
- EVIORA-HAR · IMU
- FallTL · IMU
- HAR70+ · IMU
- Infrared-BP · PPG
- IPqM-Fall · IMU
- IRIDIA-AF · ECG
- iSPL IMU-Stretch · IMU
- Kingston ICU AF · ECG
- LARa v03 · IMU
- Long-Term AF Database (LTAFDB, PhysioNet) · ECG
- Lown 2020 Polar H7 · HRV
- MAIBO · PPG
- MIMIC-IV-Ext-ECG-Glucose: Temporally Aligned 12-Lead ECG and Laboratory Blood Glucose Pairs with Quality and Pharmacological Annotations · ECG
- MIT-BIH Atrial Fibrillation Database (PhysioNet) · 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
- Newcastle PSG + GENEActiv both wrists (sleep clinic, 2015) · IMU
- NFI_FARED · IMU
- ParkinSenseDB · IMU
- Photoplethysmography Device Data (Appel & Theart / Mendeley) · PPG
- PhysioNet/CinC Challenge 2017: AF classification from a short single-lead ECG (AliveCor) · ECG
- PPG Signals for Blood Glucose Measurement (Kermani / Mendeley) · PPG
- PPG-Signal-Dataset (USC Cali) · PPG
- Real-Life HAR (UDC) · IMU
- REALDISP · IMU
- RecGym · IMU
- REST-ASMR PPG Dataset (Zenodo) · PPG
- SensHAR · IMU
- SHDB-AF · ECG
- Sicbaldi wrist PPG BP stratification · PPG
- Soochow wristband HR + menstrual/ovulation records (Mendeley v58stpfcnm) · HR
- TempID fertile-ground skin temperature + ovulation labels (Zenodo 20160611) · Temp
- Texatrode long-term ECG · ECG
- TNDA-HAR · IMU
- Triple-Wavelength PPG for Hemoglobin (Abuzairi / Mendeley) · PPG
- UMAFall · IMU
- VTT-ConIoT · IMU
- w-HAR · IMU
- Warehouse MoC+Sensor · IMU
- WatchMyHeart · ECG
- WEAR · IMU
- WHAMAP · IMU
- WHARF · IMU
- WIMID · IMU
- Yoga4All · IMU
Signals 25
- PPG · Photoplethysmography · 521 records · view in the graph
- IMU · Inertial motion (accelerometer, gyroscope) · 297 records · view in the graph
- ECG · Electrocardiography · 296 records · view in the graph
- EEG · Electroencephalography · 85 records · view in the graph
- Resp · Respiration · 75 records · view in the graph
- Temp · Skin temperature · 75 records · view in the graph
- EDA · Electrodermal activity · 71 records · view in the graph
- HR · Heart rate · 39 records · view in the graph
- BP · Blood pressure · 38 records · view in the graph
- SpO₂ · Blood oxygen saturation · 38 records · view in the graph
- Text · Text and language · 33 records · view in the graph
- Video · Video · 28 records · view in the graph
- EMG · Electromyography · 19 records · view in the graph
- Glucose · Glucose (CGM) · 17 records · view in the graph
- PSG · Polysomnography · 17 records · view in the graph
- EOG · Electrooculography · 16 records · view in the graph
- rPPG · Remote photoplethysmography · 11 records · view in the graph
- Activity · Activity summaries (steps, workouts) · 10 records · view in the graph
- HRV · Heart rate variability / inter-beat intervals · 10 records · view in the graph
- Audio · Audio · 9 records · view in the graph
- Barometer · Barometric pressure / altimeter · 6 records · view in the graph
- Bioimpedance · Bioimpedance (BioZ, ICG, IPG) · 6 records · view in the graph
- EHR · Electronic health records and labs · 5 records · view in the graph
- BCG · Ballistocardiography · 4 records · view in the graph
- PCG · Phonocardiography · 4 records · view in the graph
Organizations 63
- Google · 42 authors
- Zhejiang University · 16 authors
- Peking University · 13 authors
- University of Oxford · 13 authors
- University of Rochester Medical Center · 13 authors
- Stanford University · 11 authors
- University of Tabuk · 8 authors
- Duke University · 7 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
- Emory University · 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
- 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
- Georgia Institute of Technology · 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 458
- 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
- Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis · 2026 · model: PaPaGei-S, AnyPPG and 6 more
- 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
- 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
- AnyPPG: An ECG-Guided PPG Foundation Model Trained on Over 100,000 Hours of Recordings for Holistic Health Profiling · 2026 · model: AnyPPG
- Monitoring Gait at Home with Radio Waves in Parkinson's Disease: a Marker of Severity, Progression, and Medication Response · 2022
- GPT-PPG: a GPT-based foundation model for photoplethysmography signals · 2025 · model: PaPaGei-S, AnyPPG and 5 more
- Predicting cardiovascular disease risk using photoplethysmography and deep learning · 2024
- 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
- GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring · 2026 · model: GlucoFM
- TimeCap: A Scalable Open-Source Pipeline for Captioning Wearable Health Time-Series Data · 2026 · model: OpenTSLM
- 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)
- Self-supervised learning for human activity recognition using 700,000 person-days of wearable data · 2024 · model: HARNet / OxWearables SSL
- Structured Trajectory Supervision for Reliable Physiological Time-Series Regression (PPI-Net) · 2026 · model: PaPaGei-S, AnyPPG and 5 more
- A Comprehensive Review of Biosignal Foundation Models · 2025 · model: NeuroRVQ (PPG tokenizer)
- Artificial Intelligence–Enhanced Electrocardiography Identifies Patients With Normal Ejection Fraction at Risk of Worse Outcomes · 2024
- NormWear: Toward Foundation Model for Multivariate Wearable Sensing of Physiological Signals · 2024 · model: NormWear-2, NormWear
- SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals · 2024 · model: SleepFM-2, SleepFM (v1)
- 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
- CardioState-JEPA: Delay-Aware Cross-Modal Learning of a Shared Cardiac Representation · 2026 · model: CardioState-JEPA
- Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations · 2026 · model: LuminaECG
- DNA-PPG: A Foundation Model for Photoplethysmography via Dual Neighborhood Alignment · 2026 · model: DNA-PPG
- ECGFounder: An ECG Foundation Model Built on 10+ Million Recordings · 2024 · model: ECGFounder
- 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
- SleepLM: Natural-Language Intelligence for Human Sleep · 2026 · model: SleepLM
- Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions (WBM) · 2025 · model: Apple WBM (Wearable Behavioral Model)
- Foundation Models Defining A New Era In Sensor-based HAR — survey review · 2026
- OSF: On Pre-training and Scaling of Sleep Foundation Models · 2026 · model: OSF (Open Sleep Foundation Models)
- PaPaGei: Open Foundation Models for Optical Physiological Signals · 2024 · model: PaPaGei-S
- ReliaGate: Reliability Routing for Low-Stakes Wearable Stress Prediction · 2026
- Signal or Noise? Understanding Generative Models for Real-World Sensor Time Series (SensorGen) · 2026
- SleepMaMi: A Universal Sleep Foundation Model for Integrating Macro- and Micro-structures · 2026 · model: SleepMaMi (SNU; macro+micro PSG sleep foundation model, ICML 2026)
- SLIP: Learning Transferable Sensor Models via Language-Informed Pretraining · 2026 · model: SLIP (Sensor Language-Informed Pretraining; any-channel sensor-language FM)
- Toward World Modeling of Physiological Signals with Chaos-Theoretic Balancing and Latent Dynamics · 2026 · model: NormWear-2, NormWear
- Variable Input Masked Autoencoders for Wrist-Worn Accelerometry (VarMAE) · 2026 · model: VarMAE
- A Deep Sparse Capsule Network for Non-Invasive Blood Glucose Level Estimation Using a PPG Sensor · 2025
- A Unified Flexible Large Polysomnography Model for Sleep Staging and Downstream Clinical Screening (LPSGM) · 2024
- CHEAR: Confusion-Hierarchy Evidence-Aware Reasoning for Cost-Efficient Human Activity Recognition · 2026
- CogAdapt: Adapting Clinical ECG Foundation Models for Wearable Cognitive Load Assessment · 2026 · model: CogAdapt
- 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 Models Defining a New Era in Human Activity Recognition: A Survey and Outlook
- HEARTS: Benchmarking LLM Reasoning on Health Time Series · 2026
- OntoAR-HAR: Ontology-Guided Agentic RAG with Personalized Memory for Human Activity Recognition · 2026
- SimPer: Simple Self-Supervised Learning of Periodic Targets · 2022
- 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)
- Apnea Burden-Guided Framework: Enhancing Out-of-Distribution Generalization in PPG-Based Sleep Apnea Characterization · 2026
- Beyond Simulated Benchmarks: Evaluating Motion Representations for Fall Detection Under Real-World Data Scarcity · 2026
- Bio-PM: Bio-Inspired Self-Supervised Learning for Wrist-worn Accelerometer Data · 2026 · model: Bio-PM
- 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
- Cross-Modal Correlation Fusion for End-to-End ECG–PPG Stress Classification · 2026 · model: PaPaGei-S, Pulse-PPG and 1 more
- IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and Text · 2022 · model: IMU2CLIP
- Inertia-1: An Open Exploration of Wearable Motion Foundation Models · 2026 · model: Inertia-1
- Inertia-1: Open Exploration of Wearable Motion Foundation Models · 2026 · model: Inertia-1
- Large-scale Training of Foundation Models for Wearable Biosignals · 2023 · model: Apple wearable biosignals FM
- Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables · 2024
- 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
- RAE-PPG: Duration-Grounded Retain-and-Extend Pretraining for PPG Foundation Models · 2026 · model: RAE-PPG
- 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
- ZARA: Training-Free Motion Time-Series Reasoning via Evidence-Grounded LLM Agents · 2025
- A Foundation Model for Wearable Movement Data in Mental Health Research (PAT) · 2026 · model: PAT (Pretrained Actigraphy Transformer)
- A Scoping Review of Deep Learning Methods for Photoplethysmography Data · 2024
- ECG-FM: An Open Electrocardiogram Foundation Model · 2024 · model: CogAdapt, ECG-FM
- Effect of Photoplethysmogram Artifacts on Uncertainty in Atrial Fibrillation Detection · 2026
- FOUND-AF: Benchmarking ECG Foundation Models for Atrial Fibrillation Detection · 2026
- HuBERT-ECG: A Self-Supervised Foundation Model for Broad and Scalable Cardiac Applications · 2024 · model: HuBERT-ECG
- Lapras: Latent Reasoning for Time Series Language Models · 2026 · model: Lapras (latent-reasoning post-training for time-series language models)
- PAT: Pretrained Actigraphy Transformer · 2026 · model: PAT (Pretrained Actigraphy Transformer)
- Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks · 2026
- 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
- Beat-Synchronous Tokenization for ECG Transformers · 2026 · model: Beat-synchronous ECG tokenizers (UMN, IEEE MLSP 2026)
- 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
- Continuous-Latent Predictive Modeling with Semantic Alignment for EEG-Language Foundation Models · 2026 · model: BLPM (Brain Latent Predictive Model)
- 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
- LIMU-BERT: Unleashing the Potential of Unlabeled Data for IMU Sensing Applications · 2021 · model: LIMU-BERT
- MMAE-ECG: multi-scale masked autoencoder for ECG anomaly detection · 2026
- Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network · 2024
- PocketTSLM: Deploying an On-Device Soft-Prompt Time-Series Language Model for Privacy-Preserving Smartphone Reasoning · 2026 · model: OpenTSLM
- Single-Beat Cuffless Blood Pressure Estimation Using Ear-PPG and ECG with a Lightweight Hybrid Learning Framework · 2026
- TRACE-TS: Attribution-Grounded and Traceable Sensor-Language Reasoning for Human Activity Understanding · 2026
- AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild · 2026 · model: AnyMo
- 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
- Delving into Deep Imbalanced Regression · 2021
- 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)
- 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
- 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
- OmniIMU-Bench: Benchmarking Wrist IMU Representations Across Kinematic, Semantic and Clinical Tasks · 2026 · model: InrtlWrist
- Personalized Calibration and Hybrid Feature Fusion for Continuous Blood Pressure Estimation Using PPG and ECG Signals · 2026
- Physical activities enable scalable foundation modelling for broad-spectrum health prediction (StepFM) · 2026 · model: StepFM
- ProtoMM: Shared Prototypes for a Multimodal Pulse-Motion Foundation Model · 2025 · model: ProtoMM (Pulse-Motion)
- PulseDB: A large, cleaned dataset based on MIMIC-III and VitalDB for benchmarking cuff-less blood pressure estimation methods · 2023
- 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 foundation model of wearable pulse oximetry reveals physiological signatures of health and cardiometabolic risk (PulseOx-FM) · 2026 · model: PulseOx-FM
- BeatFlow-ECG: Rectified Flow for ECG Reconstruction from Indirect Wearable Signals · 2026
- Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation Model · 2026 · model: M2AE (Biosignal Fingerprinting)
- Context-Augmented, Session-Calibrated Blood Pressure Tracking from Photoplethysmography · 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
- ECG Mortality/SCD Prediction with Generative Explainability · 2026
- ExpertoRhythm: Morphology-Aware Learning for Waveform Reconstruction and Cuffless Blood Pressure Estimation from Single-Channel PPG · 2026
- 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
- Generalizable deep learning for photoplethysmography-based blood pressure estimation — A benchmarking study · 2025
- MorphCL: Morphological Contrastive Learning for Inertial-based Human Activity Recognition · 2026
- On Sleep-Wake Disorder Identification from Polysomnographic Representations · 2026
- Physically-Constrained Harmonic Separation (PCHS) for Robust HR/RR from Wrist PPG · 2026
- Position: Beyond Prediction: Toward Verifiable Physiological Waveform Reasoning with Foundation Models and Agentic LLMs · 2026 · model: GPT-PPG, PG-LRF
- PPG-Distill: Efficient Photoplethysmography Signals Analysis via Foundation Model Distillation · 2025 · model: GPT-PPG, PPG-Distill
- 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 Metrology Atlas: describing recorded physiological data as a measurement system, with VitalDB as a first application · 2026
- wav2sleep: A Unified Multi-Modal Approach to Sleep Stage Classification from Physiological Signals · 2024
- 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
- Artificial Intelligence Applied to Electrocardiograms Recorded in Sinus Rhythm for Detection and Prediction of Atrial Fibrillation: A Scoping Review · 2025
- Calibration-Based Cuffless Blood Pressure Estimation Using a Dilated-Residual Attention U-Net · 2026
- COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition · 2026
- Cuffless Blood Pressure Estimation from Six Wearable Sensor Modalities in Multi-Motion-State Scenarios · 2025
- 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
- Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques · 2020 · model: TEX-MEX
- Evaluating Sources of Diversity in Text-Driven IMU Synthesis for Wearable Human Activity Recognition · 2026 · model: IMUGPT, Text2IMU and 1 more
- Foundation models for movement data: Are they ready for prime-time? · 2026
- 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)
- HiPPT: Physiology-Grounded Wearable PPG Representation Learning via Multi-Scope Text Alignment · 2026 · model: HiPPT
- IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition · 2024 · model: IMUGPT
- 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)
- Mamba-based Deep Learning Approach for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography · 2026
- MS-ECG-FM: Towards a More Universal Electrocardiogram Foundation Model for Health Monitoring using Multi-source Contrastive Learning · 2026 · model: MS-ECG-FM
- Non-invasive wearables for remote monitoring of HbA1c and glucose variability: proof of concept · 2021
- Patient-specific conformal calibration for arrhythmia monitoring: contamination, reviewer dependence and distribution shift · 2026
- 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
- pyPPG: A Wearable PPG Analysis Toolbox · 2024
- QECGBERT: a scalable ECG foundation model based on self-supervised language learning via VQ-VAE waveform tokenization · 2026
- REFIT: Recognize, Fix, and Test Wearable Sensor Placement Shifts without Labels · 2026
- Reliability-Evidence Fusion for Selective Heart-Rate Estimation from Wearable PPG: A Transformation-Aware Cross-Cohort Study · 2026
- Scaling ECG Foundation Models and Identifying a Threshold for Effective Representation Learning · 2026
- SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning · 2026 · model: SPOTR
- The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning · 2026
- Towards fair and trustworthy heart rate estimation from wrist-worn PPG (MW-PPG-HR) · 2026
- TransECG-SSL: hybrid self-supervised representation learning for ECG arrhythmia 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
- BenchECG and xECG: a benchmark and baseline for ECG foundation models (xLSTM) · 2026 · model: xECG
- Characterizing the Performance Gap in Human Activity Recognition for Older Adults · 2026
- CITRUS: Candidate Inference and Temporal-tracking for Reliable, Unobtrusive Sensing of Wearable Heart Rate under Motion · 2026
- Conventional and novel hypoxemia-related indices for obstructive sleep apnea severity and incident hypertension: a prospective cohort study · 2026
- Coverage-Aware Virtual IMU Augmentation for Low-Resource Human Activity Recognition · 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
- Dense temporal sleep apnea profiling from single-channel PPG with downstream AHI estimation: a large-scale retrospective feasibility study · 2026
- 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
- ECG + respiration activation-state classification on WESAD with a hybrid multi-scale TCN-Conformer, 15-fold LOSO (Leonelli … Sanchez-Galan; Sensors 2026) · 2026
- EdgeHAR: An Edge-Native Compact Sensor Foundation Model for Human Activity Recognition · 2026 · model: EdgeHAR
- EgoHRV: Continuous Heart Rate Variability Estimation from Egocentric Systems for Autonomic Response and Skill Assessment · 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
- Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches · 2026
- MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms · 2026
- MoWaveQFormer: A Motion-Conditioned Quality-Gated Transformer for Smartphone-Based PPG Heart Rate Estimation · 2026
- Multimodal Self-Supervised Learning for Wearable Sleep Staging Using Photoplethysmography and Accelerometer Signals · 2026
- OPLR: Alleviating Normality Bias in PPG-to-ABP Reconstruction via Ordered Prototype Latent Refinement · 2026
- PhysioSkeptic: Skeptical Reasoning Grounded in Signal Quality for Multimodal Rhythm Analysis · 2026
- PPG-FusionNet: A Dual-Branch Neural Architecture for Cuffless Blood Pressure Estimation from Photoplethysmography · 2026
- PPG-LM: A Photoplethysmography–Language Model with Multi-Level Clinical Alignment · 2026 · model: PPG-LM
- Pretraining on Sleep Data Improves non-Sleep Biosignal Tasks · 2026
- PRISM: Retrieval-Augmented Multimodal Language Model with Heterogeneous Evidence Integration for Clinical Prognosis · 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)
- Role of language-derived semantics in knowledge distillation on wearable sensor data (Biomimetics 2026) · 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
- The role of dataset integrity, calibration and signal quality in neural network-based blood pressure estimation · 2026
- 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
- WavesFM: Hierarchical Representation Learning for Longitudinal Wearable Sensor Waveforms · 2026 · model: WavesFM
- 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
- 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
- Accurate Cuffless Blood Pressure Estimation Using Conformer-Based PPG-to-ABP Waveform Reconstruction Framework · 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
- Are You Performing, Anticipating, or Observing? Role-Aware Physiological Sensing in Group Interactions · 2026
- Arterial blood pressure waveform reconstruction estimation from PPG using TCN–BiLSTM · 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)
- BrainPro: Process-conditioned Pretraining with Topographic Retrieval for Large EEG Models · 2025 · model: BrainPro (NTU; process-conditioned, topographic-retrieval EEG FM)
- Calibration-Free Cuffless Blood Pressure Estimation Using Multimodal ECG-PPG Fusion on a Google Pixel Watch · 2026
- CardioFusion-AI: Robust ECG--PPG Fusion for Multimodal Physiological Monitoring Under Signal Degradation · 2026
- 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
- 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
- Cross-subject PPG-to-ECG reconstruction: open-data benchmark, model weights and notebook (OSF) · 2026
- Cuffless Photoplethysmogram Based Beat-Beat AI Powered Continuous Blood Pressure Estimation Towards Precision Medicine · 2026
- Cylindrical Geodesic Flow Matching for Quasiperiodic Physiological Signal Transformation · 2026
- Data Efficient Cuffless Blood Pressure Classification from PPG using Foundation Model Embeddings and Few-Shot Learning · 2026
- Deep-Tissue Hemodynamic Sensing: Comparing Impedance and Photoplethysmography for Wearable Blood Pressure Estimation · 2026
- Demo: multi-device cuffless blood pressure monitoring via PPG-to-ECG generation (MobiCom '26) · 2026
- Diffusion-Based Synthetic Data Pretraining for Enhancing Activity Recognition · 2026
- 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
- 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-InterpBench: Benchmarking Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders · 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)
- Enhancing Fiducial Point Detection in Imaging Photoplethysmography Through Spatial Fusion · 2026
- Estimation of Contact PPG-Derived Vascular Indices from Reconstructed rPPG Signals · 2026
- Evaluating reliability in wearable devices for sleep staging · 2024
- FiLMamba: A FiLM-Conditioned Mamba Architecture with an Energy-Efficient FPGA Accelerator for Generalizable Cuffless Blood Pressure Estimation · 2026
- FLOW: Feature-Level Optimal Warping for Generalized Remote Physiological Measurement · 2026 · model: FLOW
- From Elastic to Viscoelastic: An EEMD-Enhanced Pulse Transit Time Model for Robust Blood Pressure Estimation · 2026
- HealthLoopQA: A Context-Aware Question Answering Benchmark for Interpreting Wearable Monitoring Data in Diabetes Care · 2026
- Interaction-Gated Time-Frequency Learning for Parameter-Efficient PPG-Based Heart Rate Estimation · 2026
- 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
- 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
- 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
- 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
- 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
- P2E-VQ: ECG-linked representation augmentation for PPG via discrete patch retrieval · 2026
- 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
- PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer · 2022 · model: PhysFormer
- PhysioSplit: Delay-Aware Context-Selective Fusion under Cohort Shift · 2026
- 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
- Prediction of cardiovascular outcomes using electrocardiography from overnight polysomnography · 2026
- Pulse Wave Detection using Fiber Bragg Gratings: Comparison with Multiwavelength Photoplethysmography Devices · 2026
- PulseAnchor: Personalizing PPG Foundation Models for Cuffless Blood Pressure Estimation · 2026
- PulsePath: Two-Stage Generative Waveform Refinement for Robust Remote Photoplethysmography Estimation · 2026
- 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 Cuffless Blood Pressure Estimation via PPG-Conditioned Diffusion and Contrastive Transformer Fusion · 2026
- Sleep stage prediction with raw acceleration and photoplethysmography heart rate data derived from a consumer wearable device · 2019
- Smartwatch-based detection of loss of pulse · 2026
- Soft, Multi-Wavelength Photoplethysmography Enables Reliable Neonatal Blood Pressure Monitoring Via Error Stratification · 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
- SynHAR: Augmenting Human Activity Recognition With Synthetic Inertial Sensor Data Generated From Human Surface Models · 2024 · model: SynHAR
- 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 anatomy of a personal health agent · 2026
- 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 wearable AI-PPG AF burden: a passive, dynamic burden tool with an ECG-distilled deep foundation model (HRS 2026 abstract) · 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
- 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
- WatchSleepNet: A Novel Model and Pretraining Approach for Advancing Sleep Staging with Smartwatches
- WearableQA: A Benchmark for Health Reasoning over Real-World Wearable Data · 2026
- WearICG: Towards A Wearable Approach to Continuous Stroke Volume Monitoring · 2026
- WildPPG: A Real-World PPG Dataset of Long Continuous Recordings · 2024
- Wonderwall: A Virtual-to-Real Foundation Model for IMU-based HAR · 2026 · model: Wonderwall
- 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 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 Physiology- and Measurement-Informed Framework for Evaluating PPG Features in Cuffless Blood Pressure Estimation · 2026
- 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
- Accelerometry-Assessed Latent Class Patterns of Physical Activity and Sedentary Behavior With Mortality · 2017
- Accurate but Not Transferable: Can we overcome Identity Confounding in Blood Pressure Regression? (MOrdereD)
- An AI Co-Data-Scientist for Prioritizing Candidate Biomarkers from Wearable Sensor Data (CoDaS) · 2026
- 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
- Assessment of obstructive sleep apnea-related sleep fragmentation utilizing deep learning-based sleep staging from photoplethysmography · 2021
- Association of accelerometer-measured rest-activity rhythm patterns and parameters with cardiovascular and all-cause mortality in older adults · 2026
- Attractor-Vascular Coupling Theory: Formal Grounding and Empirical Validation for AAMI-Standard Cuffless Blood Pressure Estimation from Smartphone Photoplethysmography · 2026
- 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
- 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
- Benchmarking and Enhancing PPG-Based Cuffless Blood Pressure Estimation Methods · 2026
- Beyond Motion Artifacts: Optimizing PPG Preprocessing for Accurate Pulse Rate Variability Estimation · 2025
- Change Point--Aware Evaluation and Re-Calibration of PPG-Based Blood Pressure Estimation · 2026
- Circuit-free cardiovascular monitoring via skin-interfaced nanophotonics · 2026
- Clinical Validation of Photoplethysmography-Based Finger Cuffless Blood Pressure Monitoring Following European Society of Hypertension Recommendations · 2026
- Comparing self-supervised pretraining methods and transfer configurations for wrist ECG under motion (HumanSys '26) · 2026
- Context-dependent age-group performance hierarchies limit fairness interventions in PPG-based heart rate prediction · 2026
- Controlled Evaluation of EEG Foundation Models: Random Initialisation, Band-Power and Validation-Selected Probes · 2026
- CoWear: Towards Collaborative Wearable Inertial Localization with Multiple Smart Devices · 2026
- 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
- 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
- DeltaMamba: Pretrained Differential Mamba for Cuffless Blood Pressure Estimation From Photoplethysmography (PPG) · 2026
- Detecting Neurovascular Instability from Multimodal Physiological Signals Using Wearable-Compatible Edge AI: A Responsible Computational Framework · 2026
- Differentially and Integrally Attentive Convolutional-Based Real-Time Photoplethysmographic Signal Quality Classification · 2026
- DMT: Demographic Conditioning, Morphology-Enhanced Transformer for Cuffless Blood Pressure Estimation from PPG Signals · 2026
- Domain-independent PPG signal quality assessment framework via representation learning · 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
- 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
- Event-preserving residual filtering with benefit-aware bypass for motion-corrupted photoplethysmography (PulseGuard) · 2026
- FALLNEST: Dual-Domain Dataset Condensation of Imbalanced IMU Data for Wearable Fall Detection · 2026
- Feasibility of Ectopic Beat Detection and Count Estimation from Smartwatch-Based Photoplethysmography · 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
- Foundation Model Artificial Intelligence for Electrocardiogram Detection of Rheumatic Mitral Stenosis · 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
- Fuzzy Accuracy Compensates for Label Subjectivity in Classification of Skin Tone Using Wearable Photoplethysmography Signals · 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
- How Far Can Wearable-Compatible Signals Go? A Controlled Decomposition of Non-EEG Sleep Staging · 2026
- Hypertension screening via awake–sleep differences in photoplethysmogram signals · 2026
- 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
- Integrated Noise-Aware PPG-Based Blood Pressure Stratification With Rate and Rhythm Sensing for Smart Portable Cuffless BP Monitor · 2026
- Interpretable Reliability Control for Wearable PPG Heart Rate Estimation · 2026
- Joint Attention Mechanism Learning to Facilitate Opto-physiological Monitoring during Physical Activity · 2025
- Language-supervised electrocardiogram interpretation with vision transformer · 2026
- Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study · 2017
- Large-scale bilateral cardiovascular monitoring via wearable rings · 2026
- Learning from Bilateral PPG via Cross-Site Attention and Knowledge Distillation · 2026
- 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
- Melanin- and linewidth-corrected pulse-oximetry · 2026
- Menstrual cycle-related dynamics of glycemic variability in women without diabetes · 2026
- Methods for Optimizing Photoplethysmography Signal Quality · 2026
- Models Got Talent: Identifying High Performing Wearable Human Activity Recognition Models Without Training · 2026
- Multi-Aperture PPG with MAPIS: Spatial Optical and Temporal Coherence Fields · 2026
- Multi-site PPG: An In-the-Wild Physiological Dataset from Emerging Multi-site Wearables · 2026
- Non-Contact SpO2 Estimation Using Camera-Based Photoplethysmography: A Machine Learning Approach on Edge · 2026
- On Improving PPG-Based Sleep Staging: A Pilot Study · 2025
- 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
- Photoplethysmographic features and echocardiographic cardiac structural and diastolic modifications: interaction with kidney function (Life 2026) · 2026
- Photoplethysmography based remote cardiac blood pressure monitoring compared with 24-h ambulatory blood pressure monitoring · 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 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
- Practical optimization of deep learning models for cuffless blood pressure estimation from photoplethysmography · 2026
- Pulse Oximetry Versus Arterial Co-Oximetry During Exercise: A Systematic Review of Agreement and Sensor Technology Reporting Gaps · 2026
- PulseFlow: PPG Counterfactual Generation Via Latent Transport · 2026
- Quality-aware PPG pulse-rate classification and regular/irregular rhythm recognition to gate PPG-based BP analysis (Sivanjaneyulu, Manikandan, Boppu, Cenkeramaddi; Healthc Technol Lett 2026) · 2026
- Rapid Adaptation of SpO2 Estimation to Wearable Devices via Transfer Learning on Low-Sampling-Rate PPG · 2025
- Real-world performance of a ring-type cuffless blood pressure device compared with ambulatory blood pressure monitoring · 2026
- Reducing Latency and Noise in PPG-Based SpO2 Measurements: A Kalman Filtering Approach Towards Acute Hypoxia Detection · 2025
- Reduction of motion artifacts from photoplethysmography signals using learned convolutional sparse coding · 2025
- Relational Window Stabilization for Repeatable Single-Window PPG Disease-Background Prediction (RWS) · 2026
- Relative Contact Load and PPG Modulation in a Low-LED-Drive Reflective Platform: A Single-Participant Feasibility Study · 2026
- Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact · 2025
- Respiration from the Wrist: Evaluating Respiratory Rate Estimation Using Multi-Channel PPG · 2026
- Robust Heart Rate Detection via Multi-Site Photoplethysmography · 2024
- Robust Photoplethysmography Signal Denoising via Mamba Networks · 2025
- Rotation-Invariant Multi-IMU Activity Recognition under Independent Per-Location Orientation Shifts · 2026
- Sampling Frequency Requirements for Estimating Physical Activity Metrics from Wearable Accelerometer Data · 2026
- Scoping the Landscape of Large Language Model-based Affective Personal Informatics: Review, Reflection, Future Direction · 2026
- Self-Supervised and Topological Signal-Quality Assessment for Any PPG Device · 2025
- Semi-supervised Contrastive Learning for Reliable Sleep Staging with Small Labeled Photoplethysmography Data · 2025
- SF2O-SKDCN: Selective kernel attention enabled deep learning framework for cardiovascular disease detection using photoplethysmography signals · 2027
- Simulation of photoplethysmography signal in reflection mode using three-layer skin optical modeling (J Med Signals Sens 2026) · 2026
- Sleep regularity is a stronger predictor of mortality risk than sleep duration: A prospective cohort study · 2023
- Sleep–wake classification performance of pediatric-trained machine learning algorithms for raw accelerometer data (SLEEP 2026) · 2026
- SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography · 2023
- SleepPPG-Net2: Deep learning generalization for sleep staging from photoplethysmography · 2024
- SpecBraM: What Should an EEG Foundation Model Predict? Masked Band-Power Prediction versus Waveform Reconstruction · 2026
- SpO2 Predictor-Guided Stage-Wise Time-Frequency Reconstruction of Low-Quality Dual-Wavelength PPG for Oxygen Saturation Estimation · 2026
- StitchSense: Smart-Garment Sensing as a Source Domain for Watch-Based Activity Recognition · 2026
- Supervised pretraining enables diastolic blood pressure screening from passive wearable PPG (HRS 2026 abstract) · 2026
- TAU: Modeling Temporal Consistency Through Temporal Attentive U-Net for PPG Peak Detection · 2025
- Temple PPG Morphology Demonstrates a Stronger Cardiovascular Age Signal Than Wrist Sites · 2026
- Temporal Cardiovascular Dynamics for Improved PPG-Based Heart Rate Estimation · 2026
- The 103,200-arm acceleration dataset in the UK Biobank revealed a landscape of human sleep phenotypes · 2022
- The impact of skin tone on performance of pulse oximeters used by NHS England COVID Oximetry @home scheme · 2026
- Towards Emotion-Aware Wearables: Distilling PPG Foundation Models for Real-Time Affective and Physiological Monitoring · 2026
- TransfoRhythm: A Transformer Architecture Conductive to Blood Pressure Estimation via Solo PPG Signal Capturing · 2024
- Tri-Spectral PPG: Robust Reflective Photoplethysmography by Fusing Multiple Wavelengths for Cardiac Monitoring · 2024
- Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks · 2025
- Unobtrusive Reflectance Photoplethysmography for Detecting and Severity Grading of Sleep Apnea via Oxygen Desaturation Index · 2025
- Utilizing Multi-PPG-Sensor Site Information in a Localized Wrist Area for Improving Cuffless Blood Pressure Estimation · 2026
- Validity of wrist-worn EDA: Empatica EmbracePlus vs Shimmer3 GSR+ during breathing, Stroop and VR-height stressors (Peeters … Schouten; Sensors 2026) · 2026
- W-JEPA: Wavelet Joint-Embedding Predictive Architecture for Wearable Activity Recognition · 2026
- Wearable multi-wavelength photoplethysmography deep learning heart rate estimation (MMU thesis) · 2026
- WEQA: Wearable hEalth Question Answering with Query-Adaptive Agentic Reasoning · 2026
- When not to diagnose: evaluating evidence-sufficiency recognition in ECG multimodal language models with ECGTrustBench (HumanSys '26) · 2026
- Zero-shot heart rate variability forecasting from consumer wearables using time series foundation models · 2026
Authors 576
- 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
- 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
- Wanting Mao
- Yuan Hang
- Zechen Li
- Zeinab Esmaeilpour
- Aiwei Zhang
- Allan Lawrie
- Anders Johnson
- Andreas Brink-Kjaer
- Andrew C. Miller
- 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
- Rahul Thapa
- Shrikanth Narayanan
- Shyam A. Tailor
- Simon A. Lee
- SouYoung Jin
- Xiangjie Li
- Ya Zhou
- Yujie Yang
- Zhiwen Yu
- Aakarsh Anand
- Abram Schonfeldt
- Ahmed Sameh
- Alasdair Gent
- Alberto Signoroni
- Alexandru Solot
- Andrew P. Creagh
- Annette Esper
- Anthony Z. Faranesh
- Antonio H. Ribeiro
- Asif Salekin
- Augustin Toma
- Baiyu Chen
- Barry Rubin
- Bin Guo
- Bo Liu
- Bo Wang
- Bryan He
- 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
- Franjo Husam Naji
- Gauri Ganjoo
- Gregory Darnell
- Guo Zhang
- Guobin Shen
- Guosong Gao
- Haraldur Hallgrimsson
- Hong Jia
- Hongyan Li
- Huatao Xu
- Hyewon Jeong
- 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
- Marco Metra
- Marianna Adamo
- Márton Á Goda
- Mattia Savardi
- Mauro Massussi
- Md Hassanuzzaman
- Mihai V Podgoreanu
- Mithun Saha
- Mo Li
- Mohammad Moulaeifard
- Pengfei Zhou
- Philip Yang
- Poul Jennum
- Richard Fineman
- Rishikesan Kamaleswaran
- Rui Tan
- 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
- Thomas Plötz
- Tilendra Choudhary
- Ting Dang
- Vassilis Kostakos
- Veer Sangha
- Vijay Krishnamoorthy
- Wei Tang
- Wei Wang
- Wenlong Wu
- Xiao Gu
- Xiao Ma
- Xiaocheng Fang
- Yang Zhang
- Yiming Zhang
- Ying-Cong Chen
- Yingcheng Liu
- Yixin Xu
- Yizhang Yang
- Yogatheesan Varatharajah
- Yujie Xiao
- Yunfei Luo
- Zhangdaihong Liu
- Zhiqing Hong
- Zhou Pan
- Ziga Mrak
- Aaron Aguirre
- Abhishek Varghese
- Adrien Specht
- Aleksandar Videnovic
- Alessio Burrello
- Alexander Schubert
- Alexandros Koliousis
- Alireza Dirafzoon
- Amir Mousavi
- Amy Bearman
- Anand Paul
- Andrea Madotto
- Angus Burns
- Anna Vybornova
- Anshuman Mishra
- Antonio Luiz P. Ribeiro
- Aparajita Saraf
- Ari Winbush
- Arlene Wurzner-Ghajarzadeh
- Babak Behsaz
- Babak Damavandi
- Benjamin Yetton
- Brandon Westover
- Brent Winslow
- 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
- Fei Wu
- Francesco Carlucci
- Gari Clifford
- Giovanni Pollo
- Gouthaman KV
- Greg S. Corrado
- Gregoire Wuerzner
- Hafsa Ahmed
- Haitao Li
- Haiteng Jiang
- Hamid Palangi
- Hamza Shafiq
- Hao Zhou
- Hao-Wei Su
- Haotian Wang
- Harrison G. Zhang
- Harsh Sharma
- He-yang Xu
- Hibah Qasem Salman Alatawi
- Hong Yu
- Hongkun Zhang
- Hongxiang Gao
- Hye-Bin Shin
- Isaac Galatzer-Levy
- Jacob Sunshine
- James A. Taylor
- Jameson K. Rogers
- Jamie L. Adams
- Jan Bukartyk
- Jawhara Bader Aljabri
- Jed McGiffin
- Jianqing Li
- 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
- 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
- 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
- Paolo Di Achille
- Patrick Schwab
- Prithviraj Tarale
- Qian Li
- Rajesh K. Gupta
- Rajesh Kumar
- Ranak Roy Chowdhury
- Randall J Lee
- Ravi S. Aysola
- Ray Dorsey
- Renee M. Wilson
- Robin Guillard
- Rocky Slavin
- Rumen Hristov
- Ruth B. Schneider
- Saba Emrani
- Saleh Ali Albelwi
- Samuel Solomon
- 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
- 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
- Vince Calhoun
- Viswam Nathan
- Wei Zhao
- Wei-Hung Weng
- Weichao Pan
- Weinan Wang
- Weizhi Zhang
- Wenjun Lyu
- William Theodor Lehn-Schioler
- Xiao Hu
- Xiaying Wang
- Xingyao Wang
- 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
- 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
- Ouassim Karrakchou
- Patricia A. Pellikka
- Paul A. Friedman
- Paweł Pławiak
- Pedram Mohseni
- Peter A. Noseworthy
- Qi Xie
- Qinghao Zhao
- Ramzi Al-Sharawi
- Sadasivan Puthusserypady
- Sai Gu
- Sara Vinco
- Sencer Unal
- Sendhil Mullainathan
- Shijia Geng
- Shuailong Tang
- Shuhan Xiao
- Shuntian Zheng
- Simona Halunga
- Sorin V. Pislaru
- 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
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