Research papers

Research papers behind wearable PPG, ECG and motion foundation models, with each DOI checked.

245 entries

• A lightweight ECG model with teacher-derived integrated medical semantic preservation for cardiac disease screening (ECGFM-U-Lite)International Journal of Medical Informatics · 2027
• A Comparative Study of Signal Representations Methods and Deep Learning Architectures for PPG-Based Cuffless Blood Pressure EstimationSensors (MDPI) 26(9):2847 · 2026
• A Foundation Model for Wearable Movement Data in Mental Health Research (PAT)IEEE J Biomed Health Inform · 2026
• A foundation model of wearable pulse oximetry reveals physiological signatures of health and cardiometabolic risk (PulseOx-FM)openRxiv · 2026
• A meta-learning method with reduced data requirements for training and updating deep learning models on wearable devicesCommunications Medicine · 2026
• A robust PPG foundation model using multimodal physiological supervisionICML 2026 workshop / preprint (Dolby Labs + Georgia Tech) · 2026
• Accurate Cuffless Blood Pressure Estimation Using Conformer-Based PPG-to-ABP Waveform Reconstruction FrameworkIEEE Sensors Letters · 2026
• ActiNet: an open-source tool for activity intensity classification of wrist-worn accelerometry using self-supervised deep learningScientific Reports (published 2026-10-13); preprint arXiv 2510.01712 (v1 2025-10-02, v2 2026-04-30) · 2026
• Agentic AI-enabled discovery across large-scale sleep physiology (AI Sleep Co-Scientist)arXiv preprint · 2026
• An AI Co-Data-Scientist for Prioritizing Candidate Biomarkers from Wearable Sensor Data (CoDaS)arXiv 2604.14615 (2026-04-16; v2) · 2026
• An open-source deep learning model for classifying real-world activity intensities in persons with chronic pain using a wrist-worn accelerometerFrontiers in Digital Health 8:1783507 (published 2026-10-14) · 2026
• AnyECG-Echo: Wearable Single-Lead ECG Detects Fine-Grained Structural Heart Disease Through Echo-Report SupervisionResearch Square preprint (posted 2026-10-14; CC BY) · 2026
• AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the WildarXiv preprint · 2026
• AnyPPG: An ECG-Guided PPG Foundation Model Trained on Over 100,000 Hours of Recordings for Holistic Health ProfilingKDD 2026 (ACM SIGKDD V.2) · 2026
• Apnea Burden-Guided Framework: Enhancing Out-of-Distribution Generalization in PPG-Based Sleep Apnea CharacterizationarXiv preprint · 2026
• Are You Performing, Anticipating, or Observing? Role-Aware Physiological Sensing in Group InteractionsISWC '26 (ACM International Symposium on Wearable Computers), published 2026-10-10 · 2026
• Arterial blood pressure waveform reconstruction estimation from PPG using TCN–BiLSTMAmerican Heart Journal Plus: Cardiology Research and Practice · 2026
• Association of accelerometer-measured rest-activity rhythm patterns and parameters with cardiovascular and all-cause mortality in older adultsExperimental Gerontology 2026 · 2026
• AutoResearcHAR: A Multi-Agent Framework for Dataset Adaptive IMU Based Human Activity RecognitionISWC '26 (Proceedings of the 2026 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2026, Shanghai), pp. 149–155; published 2026-10-10 · 2026
• BayaHAR: Lightweight Bayesian Few-Shot User Adaptation for On-Device Personalized Human Activity RecognitionarXiv preprint · 2026
• Beat-Synchronous Tokenization for ECG TransformersIEEE MLSP 2026 (accepted) · 2026
• BenchECG and xECG: a benchmark and baseline for ECG foundation models (xLSTM)npj Digital Medicine · 2026
• Beyond Simulated Benchmarks: Evaluating Motion Representations for Fall Detection Under Real-World Data ScarcityarXiv preprint · 2026
• Bio-PM: Bio-Inspired Self-Supervised Learning for Wrist-worn Accelerometer DataarXiv preprint (ICML tag in keywords; venue not otherwise stated) · 2026
• Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation ModelarXiv preprint · 2026
• Blood Pressure Estimation from PPG: A Comparative Study of Direct and ECG-Mediated Deep Learning PipelinesarXiv preprint · 2026
• Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological AnalysisKDD '26 (Proc. 32nd ACM SIGKDD, V.2), August 2026 · 2026
• Calibrated photoplethysmography-derived heart rate variability approximates electrocardiographic gold-standard performance for stress-state classificationSpringer Science and Business Media LLC · 2026
• Calibration-Based Cuffless Blood Pressure Estimation Using a Dilated-Residual Attention U-NetInformation (MDPI) 17(9):878 · 2026
• CAP: Towards PPG Universal Representation Learning with Patient-level SupervisionKDD 2026 · 2026
• CapWear: Smart Footwear for Peripheral Perfusion Monitoring by Continuous Plantar Capillary Refill Time EstimationISWC '26 (ACM International Symposium on Wearable Computers), published 2026-10-10 · 2026
• CardioNets: ECG-CMR Cross-Modal Foundation ModelNEJM AI · 2026
• CardioState-JEPA: Delay-Aware Cross-Modal Learning of a Shared Cardiac RepresentationarXiv preprint · 2026
• Characterizing the Performance Gap in Human Activity Recognition for Older AdultsarXiv preprint · 2026
• CHEAR: Confusion-Hierarchy Evidence-Aware Reasoning for Cost-Efficient Human Activity RecognitionarXiv 2610.15298 (v1 2026-10-11, cs.AI) · 2026
• CITRUS: Candidate Inference and Temporal-tracking for Reliable, Unobtrusive Sensing of Wearable Heart Rate under MotionMSc/PhD thesis, Tsinghua University (cs.HC preprint) · 2026
• CogAdapt: Adapting Clinical ECG Foundation Models for Wearable Cognitive Load AssessmentarXiv preprint · 2026
• COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity RecognitionProc. ACM IMWUT 10(2), published 2026-06-15 (CC BY 4.0); presented at UbiComp/ISWC 2026 (Shanghai, week of 2026-10-12) · 2026
• Compact Latent Manifold Translation: A Parameter-Efficient Foundation Model for Cross-Modal and Cross-Frequency Physiological Signal SynthesisarXiv preprint · 2026
• Compact PPG-Based Blood Pressure Estimation Using Hardware-Efficient Knowledge DistillationIEEE Sensors Letters · 2026
• Continuous-Latent Predictive Modeling with Semantic Alignment for EEG-Language Foundation ModelsarXiv preprint · 2026
• Coverage-Aware Virtual IMU Augmentation for Low-Resource Human Activity RecognitionarXiv preprint · 2026
• CoWear: Towards Collaborative Wearable Inertial Localization with Multiple Smart DevicesarXiv 2610.20596 (submitted 2026-10-14) · 2026
• Cross-Modal Correlation Fusion for End-to-End ECG–PPG Stress ClassificationFrontiers in Artificial Intelligence and Applications (book chapter) · 2026
• CSFM: Cardiac Signal Foundation ModelNature Machine Intelligence · 2026
• Cuffless Blood Pressure Estimation From Wearable Photoplethysmography and Windkessel Model-Regularized Learning ApproachIEEE Sensors Letters · 2026
• Cuffless Photoplethysmogram Based Beat-Beat AI Powered Continuous Blood Pressure Estimation Towards Precision MedicineIEEE eIT 2026 · 2026
• Data Efficient Cuffless Blood Pressure Classification from PPG using Foundation Model Embeddings and Few-Shot LearningIEEE BSN 2026 (OpenReview) · 2026
• DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity RecognitionarXiv preprint · 2026
• Development of an efficient deep learning model for arrhythmia detection from consumer smartwatchesFrontiers in Artificial Intelligence 9:1882739 (2026-09-28) · 2026
• Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and PopulationsarXiv preprint · 2026
• Diffusion-Based Synthetic Data Pretraining for Enhancing Activity RecognitionarXiv preprint · 2026
• Discovering wearable sensor-derived temporal digital phenotypes and their association with hypertensive disorders in pregnancyResearch Square preprint (posted 2026-10-14; CC BY) · 2026
• DNA-PPG: A Foundation Model for Photoplethysmography via Dual Neighborhood AlignmentIJCAI-2026 (Thirty-Fifth IJCAI, Special Track on AI and Health), pp. 6984-6992 · 2026
• Dual foundation models for accelerometry predict future healthmedRxiv preprint · 2026
• ECG Mortality/SCD Prediction with Generative ExplainabilityNature · 2026
• ECG-InterpBench: Benchmarking Interpretability of ECG Foundation Models with Matched-Scale Sparse AutoencodersarXiv preprint · 2026
• ECG-RSI: Recursive Self-Improvement through Targeted Electrocardiogram Waveform EvolutionarXiv 2610.17718 (2026-10-13, cs.AI / cs.LG / eess.SP / q-bio.QM) · 2026
• EdgeHAR: An Edge-Native Compact Sensor Foundation Model for Human Activity RecognitionUbiComp Companion 2026 · 2026
• Effect of Photoplethysmogram Artifacts on Uncertainty in Atrial Fibrillation DetectionarXiv preprint · 2026
• End-to-end Automated Deep Neural Network Optimization for PPG-based Blood Pressure Estimation on WearablesarXiv preprint · 2026
• Evaluating Sources of Diversity in Text-Driven IMU Synthesis for Wearable Human Activity RecognitionIEEE Open Journal of Engineering in Medicine and Biology · 2026
• ExpertoRhythm: Morphology-Aware Learning for Waveform Reconstruction and Cuffless Blood Pressure Estimation from Single-Channel PPGarXiv preprint; Version of Record in LNAI 16748 (AIME 2026) · 2026
• FALLNEST: Dual-Domain Dataset Condensation of Imbalanced IMU Data for Wearable Fall DetectionarXiv 2610.18260v1 (submitted 2026-10-13; eess.SP; comment: '10 pages, 2 figures, for Conference') · 2026
• FemWear: A Parameter-Efficient Wearable Foundation Model for Women's HealtharXiv preprint · 2026
• FiLMamba: A FiLM-Conditioned Mamba Architecture with an Energy-Efficient FPGA Accelerator for Generalizable Cuffless Blood Pressure EstimationIEEE Transactions on Biomedical Circuits and Systems (TBCAS) · 2026
• Finger-to-Ear ECG: Systematic Evaluation of an Earbud-Based Cardiac Monitoring ApproacharXiv preprint · 2026
• FOUND-AF: Benchmarking ECG Foundation Models for Atrial Fibrillation DetectionarXiv preprint · 2026
• Foundation Model Artificial Intelligence for Electrocardiogram Detection of Rheumatic Mitral StenosisopenRxiv · 2026
• Foundation Models Defining A New Era In Sensor-based HAR — survey reviewIMWUT Vol 10 Issue 2, Art. 31 · 2026
• Foundation models for movement data: Are they ready for prime-time?arXiv preprint · 2026
• GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose MonitoringarXiv preprint · 2026
• GlucoPRISM: Protocol-Supervised Pretraining for Cross-Cohort Glucose TransferarXiv 2610.12528v1 (cs.LG), submitted 2026-10-08 · 2026
• HALO: A Heterogeneity-Aware Language-Aligned IMU Foundation Model for Open-Set Human Activity RecognitionarXiv preprint · 2026
• HealthLoopQA: A Context-Aware Question Answering Benchmark for Interpreting Wearable Monitoring Data in Diabetes CarearXiv preprint · 2026
• HEARTS: Benchmarking LLM Reasoning on Health Time SeriesarXiv preprint · 2026
• HiPPT: Physiology-Grounded Wearable PPG Representation Learning via Multi-Scope Text AlignmentarXiv preprint · 2026
• Hypertension screening via awake–sleep differences in photoplethysmogram signalsEuropean Heart Journal - Digital Health · 2026
• Inertia-1: An Open Exploration of Wearable Motion Foundation ModelsarXiv preprint · 2026
• Inertia-1: Open Exploration of Wearable Motion Foundation ModelsarXiv preprint · 2026
• Insulin Resistance Prediction from Wearables and Routine Blood BiomarkersNature 2026 · 2026
• Language-supervised electrocardiogram interpretation with vision transformerHealth Information Science and Systems (2026-10-13) · 2026
• Lapras: Latent Reasoning for Time Series Language ModelsarXiv 2610.11111 (cs.CL; v1 submitted 2026-10-08) · 2026
• Learning from Bilateral PPG via Cross-Site Attention and Knowledge DistillationICML 2026 Workshop SD4H (spotlight) · 2026
• Learning transferable human physiology from two million hours of sleep with SleepFM-2arXiv preprint, cs.AI · 2026
• Leveraging the wearable 1-lead ECG signal. From cardiac rhythm to cardiac function assessmentnpj Cardiovascular Health (Article in Press) · 2026
• LITEWAY: LIghtweight HAR via Temporal Efficient highWAYarXiv preprint · 2026
• Menstrual cycle-related dynamics of glycemic variability in women without diabetesmedRxiv (endocrinology), v1 posted 2026-10-15 · 2026
• MIMIC-III-Ext-PPG: A PPG Benchmark Dataset for Cardiorespiratory AnalysisPhysioNet [dataset] · 2026
• MMAE-ECG: multi-scale masked autoencoder for ECG anomaly detectionPLoS ONE 21(3):e0343571 · 2026
• Models Got Talent: Identifying High Performing Wearable Human Activity Recognition Models Without TrainingarXiv preprint · 2026
• MorphCL: Morphological Contrastive Learning for Inertial-based Human Activity RecognitionarXiv preprint · 2026
• MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry WaveformsarXiv preprint · 2026
• MS-ECG-FM: Towards a More Universal Electrocardiogram Foundation Model for Health Monitoring using Multi-source Contrastive LearningarXiv preprint · 2026
• Multimodal Self-Supervised Learning for Wearable Sleep Staging Using Photoplethysmography and Accelerometer SignalsICASSP 2026 · 2026
• Multiplex ovarian hormone monitoring in sweat using a dual-aptamer wearable sensorDevice (Cell Press), 2026 · 2026
• OmniIMU-Bench: Benchmarking Wrist IMU Representations Across Kinematic, Semantic and Clinical TasksICLR 2027 submission (under review); public release as IMU-Bench (Li, Bradshaw, Gao, Ahuja 2026; arXiv 2610.19481, submitted 2026-10-14) · 2026
• On Sleep-Wake Disorder Identification from Polysomnographic RepresentationsarXiv 2610.17451 (v1 2026-10-12, cs.LG) · 2026
• OntoAR-HAR: Ontology-Guided Agentic RAG with Personalized Memory for Human Activity RecognitionarXiv 2610.15292 (v1 2026-10-11, cs.AI) · 2026
• OpenMHC: Accelerating the Science of Wearable Foundation ModelsarXiv preprint · 2026
• OSF: On Pre-training and Scaling of Sleep Foundation ModelsarXiv preprint · 2026
• P2E-VQ: ECG-linked representation augmentation for PPG via discrete patch retrievalarXiv preprint · 2026
• Passive Heart-Rate Monitoring During Smartphone Use in Everyday LifeNature 2026 · 2026
• PAT: Pretrained Actigraphy TransformerIEEE Journal of Biomedical and Health Informatics · 2026
• Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological SignalProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · 2026
• Personalized Calibration and Hybrid Feature Fusion for Continuous Blood Pressure Estimation Using PPG and ECG SignalsSensors (MDPI) 26(15):4676 · 2026
• Physical activities enable scalable foundation modelling for broad-spectrum health prediction (StepFM)arXiv preprint · 2026
• Physically-Constrained Harmonic Separation (PCHS) for Robust HR/RR from Wrist PPGIEEE EMBC 2026 (accepted) · 2026
• PocketTSLM: Deploying an On-Device Soft-Prompt Time-Series Language Model for Privacy-Preserving Smartphone ReasoningarXiv 2610.21308v1 (cs.LG, cs.CL; submitted 2026-10-15); a version accepted at the Workshop on Deploying AI in Healthcare (DAIH), COLM 2026 · 2026
• PPG Heart Age via ECG-Guided Cross-Modal Pretraining (arXiv:2608.01620)arXiv preprint · 2026
• PPG-Bench: A Unified Benchmark for PPG Foundation ModelsarXiv preprint · 2026
• PPG-FusionNet: A Dual-Branch Neural Architecture for Cuffless Blood Pressure Estimation from PhotoplethysmographyComputers (MDPI) 15(9):566 · 2026
• PPG-LM: A Photoplethysmography–Language Model with Multi-Level Clinical AlignmentarXiv preprint · 2026
• Practical optimization of deep learning models for cuffless blood pressure estimation from photoplethysmographyPhysiological Measurement · 2026
• Pretraining on Sleep Data Improves non-Sleep Biosignal TasksarXiv preprint · 2026
• PRISM: Retrieval-Augmented Multimodal Language Model with Heterogeneous Evidence Integration for Clinical PrognosisarXiv preprint · 2026
• PulseAnchor: Personalizing PPG Foundation Models for Cuffless Blood Pressure EstimationIEEE BSN 2026 (OpenReview) · 2026
• Quality-Aware Wrist Photoplethysmography for Subject Independent Stress-State Monitoring: ECG-Referenced Validation and Selective PredictionZenodo record (Text; part of ISSN 2581-7175) · 2026
• RAE-PPG: Duration-Grounded Retain-and-Extend Pretraining for PPG Foundation ModelsarXiv preprint · 2026
• Real-time comparison of ML-enabled devices for compensatory reserve (CRM vs FDA-cleared CRI)Bioengineering · 2026
• Real-world user interactions with large language models for explaining home electrocardiogram reportsnpj Digital Medicine (published 2026-10-07; open access CC BY-NC-ND 4.0) · 2026
• Reassessing the Feasibility of PPG-Based Non-Invasive Blood Glucose Level EstimationarXiv preprint · 2026
• REFIT: Recognize, Fix, and Test Wearable Sensor Placement Shifts without LabelsarXiv 2610.08991 (submitted 2026-10-06 18:49 UTC; in the 2026-10-07 evening ET listing) · 2026
• Reliability-Evidence Fusion for Selective Heart-Rate Estimation from Wearable PPG: A Transformation-Aware Cross-Cohort StudySSRN preprint · 2026
• ReliaGate: Reliability Routing for Low-Stakes Wearable Stress PredictionUbiComp Companion 2026 (WellComp workshop) · 2026
• Rethinking PPG-based Sleep Staging: Datasets, Metrics, and BenchmarksarXiv preprint · 2026
• Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection2026
• Rotation-Invariant Multi-IMU Activity Recognition under Independent Per-Location Orientation ShiftsarXiv preprint · 2026
• Scoping the Landscape of Large Language Model-based Affective Personal Informatics: Review, Reflection, Future DirectionarXiv 2610.20084 (submitted 2026-10-14) · 2026
• Sensor-Language-Action Models (OpenSLA)arXiv preprint · 2026
• SensorFM: Toward a General Intelligence and Interface for Wearable Health DataarXiv preprint · 2026
• Signal or Noise? Understanding Generative Models for Real-World Sensor Time Series (SensorGen)arXiv preprint · 2026
• SimAuthor: Harnessing Foundation Models for Persistent Scientific Simulator AuthoringarXiv preprint · 2026
• Single-Beat Cuffless Blood Pressure Estimation Using Ear-PPG and ECG with a Lightweight Hybrid Learning FrameworkarXiv preprint · 2026
• SleepLM: Natural-Language Intelligence for Human SleeparXiv preprint · 2026
• SLIP: Learning Transferable Sensor Models via Language-Informed PretrainingarXiv 2603.11950 (cs.AI; v1 2026-03-12, v2 2026-09-27) — preprint · 2026
• Source-Learned Reliance for Selective Test-Time Adaptation of Multimodal Time Series (CARAT)arXiv preprint · 2026
• SpecBraM: What Should an EEG Foundation Model Predict? Masked Band-Power Prediction versus Waveform ReconstructionarXiv preprint · 2026
• SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised LearningarXiv preprint · 2026
• StitchSense: Smart-Garment Sensing as a Source Domain for Watch-Based Activity RecognitionISWC '26 (ACM International Symposium on Wearable Computers), published 2026-10-10 · 2026
• Take it Personally: The Limits of General SSL Representations for Real-Life PPG Emotion DetectionarXiv preprint · 2026
• Teaching PPG How not Who: Fixed-Effects Distillation from ECGarXiv 2610.10662 (v1 2026-10-07, cs.LG) · 2026
• The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation LearningarXiv preprint · 2026
• The role of dataset integrity, calibration and signal quality in neural network-based blood pressure estimationScientific Reports · 2026
• TimeCap: A Scalable Open-Source Pipeline for Captioning Wearable Health Time-Series DataarXiv 2610.21274v1 (cs.LG, cs.CL; submitted 2026-10-15; 46 pp incl. supplement) · 2026
• Toward World Modeling of Physiological Signals with Chaos-Theoretic Balancing and Latent DynamicsarXiv preprint · 2026
• Towards Emotion-Aware Wearables: Distilling PPG Foundation Models for Real-Time Affective and Physiological Monitoring2026
• Towards fair and trustworthy heart rate estimation from wrist-worn PPG (MW-PPG-HR)Physiological Measurement · 2026
• TPF-BP: A Three-Stage Physiology-Guided Self-Supervised Transfer Learning Framework for Personalized Blood Pressure MeasurementIEEE Journal of Biomedical and Health Informatics · 2026
• TRACE-TS: Attribution-Grounded and Traceable Sensor-Language Reasoning for Human Activity UnderstandingarXiv preprint · 2026
• Training and Scaling Compute-Optimal Physiological Waveform Foundation ModelsarXiv preprint · 2026
• TransfHAR: Self-Supervised Wrist Representations for On-Demand Activity RecognitionarXiv preprint · 2026
• Utilizing Multi-PPG-Sensor Site Information in a Localized Wrist Area for Improving Cuffless Blood Pressure EstimationIEEE J. Biomed. Health Inform. 30(4):3579–3592 (issue 2026-04; early access 2025) · 2026
• Variable Input Masked Autoencoders for Wrist-Worn Accelerometry (VarMAE)ICLR 2027 submission (under review); arXiv 2610.17383 (2026-10-12) · 2026
• VitalAgent: A Tool-Augmented Agent for Reactive and Proactive Physiological Monitoring over Wearable Health DataarXiv preprint (cs.AI), v1 2026-05-28 (v2 exists) · 2026
• VSMP-IMU: Video-Grounded Semantic Motion Programs for Sensor-Aware Synthetic IMU GenerationarXiv preprint · 2026
• W-JEPA: Wavelet Joint-Embedding Predictive Architecture for Wearable Activity RecognitionarXiv 2610.19411 (submitted 2026-10-14; 11 pages) · 2026
• WavesFM: Hierarchical Representation Learning for Longitudinal Wearable Sensor WaveformsarXiv preprint · 2026
• Wearable AI in the Era of Large Sensor ModelsarXiv preprint · 2026
• WearableQA: A Benchmark for Health Reasoning over Real-World Wearable DataarXiv preprint · 2026
• WearICG: Towards A Wearable Approach to Continuous Stroke Volume MonitoringISWC '26 (ACM International Symposium on Wearable Computers), published 2026-10-10 · 2026
• WEQA: Wearable hEalth Question Answering with Query-Adaptive Agentic ReasoningarXiv preprint · 2026
• Wonderwall: A Virtual-to-Real Foundation Model for IMU-based HARProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · 2026
• Wrist PPG Stress Classification on WESAD: Interval Features Compared with Beat-Shape and Wavelet FeaturesZenodo · 2026
• xMAE: Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation LearningarXiv preprint · 2026
• μDPad: A Large-Scale Multimodal PPG and IMU Dataset for Wrist-Worn Microgesture RecognitionICMI 2026 (Proceedings of the 28th International Conference On Multimodal Interaction, Napoli, pp. 837–850) · 2026
• A Comprehensive Review of Biosignal Foundation ModelsPreprint [survey] · 2025
• A Deep Sparse Capsule Network for Non-Invasive Blood Glucose Level Estimation Using a PPG SensorSensors (MDPI) · 2025
• Artificial Intelligence Applied to Electrocardiograms Recorded in Sinus Rhythm for Detection and Prediction of Atrial Fibrillation: A Scoping ReviewMedicina (MDPI) [survey] · 2025
• Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions (WBM)ICML 2025 (Apple Machine Learning Research; published July 2025) · 2025
• CLEF: Clinically-Guided Contrastive Learning for Electrocardiogram Foundation ModelsarXiv preprint (Nokia Bell Labs) · 2025
• Cuff-less blood pressure monitoring via PPG signals using a hybrid CNN-BiLSTM deep learning model with attention mechanismScientific Reports · 2025
• Deep CNN-based detection of cardiac rhythm disorders using PPG signals from wearable devicesPLOS ONE · 2025
• Dynamic Beat-to-Beat Measurements of Blood Pressure Using Multimodal Physiological Signals and a Hybrid CNN-LSTM ModelIEEE J. Biomed. Health Inform. 29(8):5438–5451 · 2025
• GalaxyPPG — PPG dataset in semi-naturalistic settings (Scientific Data 2025)Scientific Data · 2025
• Generalist vs Specialist Time Series Foundation Models: Investigating Potential Emergent Behaviors in Assessing Human Health Using PPG SignalsarXiv preprint · 2025
• Generalizable deep learning for photoplethysmography-based blood pressure estimation — A benchmarking studyMachine Learning: Health (IOP Publishing) · 2025
• GPT-PPG: a GPT-based foundation model for photoplethysmography signalsPhysiological Measurement · 2025
• LSM-2: Learning from Incomplete Wearable Sensor DataGoogle Research blog (2025-07-22); arXiv preprint (submitted 2025-06-05) · 2025
• ProtoMM: Shared Prototypes for a Multimodal Pulse-Motion Foundation ModelarXiv preprint · 2025
• Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field SettingsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · 2025
• SensorLM: Learning the Language of Wearable SensorsarXiv preprint · 2025
• Text2IMU: Advancing Human Activity Recognition by Text-Driven IMU Data Synthesis2025 IEEE 21st International Conference on Body Sensor Networks (BSN) · 2025
• ZARA: Training-Free Motion Time-Series Reasoning via Evidence-Grounded LLM AgentsarXiv preprint · 2025
• A Scoping Review of Deep Learning Methods for Photoplethysmography DataarXiv preprint · 2024
• A systematic scoping review of latent class analysis applied to accelerometry-assessed physical activity and sedentary behaviorPLOS ONE · 2024
• AF triggers in week-long ECG+wrist PPG (relational strength) — Pluščiauskaitė 2024Physiological Measurement · 2024
• Artificial Intelligence–Enhanced Electrocardiography Identifies Patients With Normal Ejection Fraction at Risk of Worse OutcomesJACC: Advances · 2024
• CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognitionScientific Data · 2024
• CAPTURE-24: Free-Living Wrist Accelerometer DatasetScientific Data · 2024
• ECG-FM: An Open Electrocardiogram Foundation ModelarXiv preprint · 2024
• ECGFounder: An ECG Foundation Model Built on 10+ Million RecordingsarXiv preprint · 2024
• Five million nights: temporal dynamics in human sleep phenotypesnpj Digital Medicine · 2024
• HuBERT-ECG: A Self-Supervised Foundation Model for Broad and Scalable Cardiac ApplicationsmedRxiv 2024 · 2024
• IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity RecognitionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) · 2024
• Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning NetworkarXiv · 2024
• NormWear: Toward Foundation Model for Multivariate Wearable Sensing of Physiological SignalsIMWUT/UbiComp 2025 · 2024
• Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power WearablesarXiv preprint · 2024
• PaPaGei: Open Foundation Models for Optical Physiological SignalsarXiv preprint · 2024
• Predicting cardiovascular disease risk using photoplethysmography and deep learningPLOS Global Public Health · 2024
• pyPPG: A Wearable PPG Analysis ToolboxOpen-source toolbox (Physiological Measurement 2024) · 2024
• RelCon: Relative Contrastive Learning for a Motion Foundation ModelarXiv preprint · 2024
• RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable DataICLR 2025 · 2024
• Scaling Wearable Foundation Models (LSM)ICLR 2025 · 2024
• Self-supervised learning for human activity recognition using 700,000 person-days of wearable datanpj Digital Medicine · 2024
• SiamQuality: A ConvNet-Based Foundation Model for Imperfect Physiological SignalsarXiv preprint · 2024
• SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory SignalsarXiv preprint · 2024
• SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG SignalsarXiv preprint (eess.SP, cs.AI, cs.LG) · 15 pages; 9 figures; 2024 Conference on Health, Inference, and Learning (CHIL) · 2024
• SynHAR: Augmenting Human Activity Recognition With Synthetic Inertial Sensor Data Generated From Human Surface ModelsIEEE Access · 2024
• UniMTS: Unified Pre-training for Motion Time SeriesarXiv preprint · 2024
• Wearable Accelerometer Foundation Models for Health via Knowledge DistillationarXiv preprint · 2024
• You can monitor your hydration level using your smartphone cameraarXiv preprint (arXiv:2402.07467) · 2024
• Large-scale Training of Foundation Models for Wearable BiosignalsarXiv preprint · 2023
• Multispectral sensor fusion in SmartWatch for skin hydration and body sweat lossScientific Reports · 2023
• PulseDB: A large, cleaned dataset based on MIMIC-III and VitalDB for benchmarking cuff-less blood pressure estimation methodsFrontiers in Digital Health [dataset] · 2023
• Sleep regularity is a stronger predictor of mortality risk than sleep duration: A prospective cohort studySLEEP · 2023
• An accurate wearable hydration sensor: real-world evaluation of practical use (SpectroPhon DBM)PLOS ONE · 2022
• Artificial Intelligence-Enabled Detection and Assessment of Parkinson's Disease using Nocturnal Breathing SignalsNature Medicine 2022 · 2022
• Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: a review from VascAgeNetAm J Physiol Heart Circ Physiol 2022 · 2022
• IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and TextarXiv preprint · 2022
• Monitoring Gait at Home with Radio Waves in Parkinson's Disease: a Marker of Severity, Progression, and Medication ResponseScience Translational Medicine 2022 · 2022
• SimPer: Simple Self-Supervised Learning of Periodic TargetsarXiv preprint · 2022
• The 103,200-arm acceleration dataset in the UK Biobank revealed a landscape of human sleep phenotypesProceedings of the National Academy of Sciences · 2022
• Delving into Deep Imbalanced RegressionarXiv preprint · 2021
• Engineering digital biomarkers of interstitial glucose from noninvasive smartwatchesnpj Digital Medicine 4:89 · 2021
• Hilo (formerly Aktiia) / CSEM oBPM — cuffless wrist BP from green PPG pulse-wave analysisScientific Reports 2021 / Blood Pressure Monitoring 2021 / J Hypertens 2023 (independent) / FDA 510(k) 2025 · 2021
• LIMU-BERT: Unleashing the Potential of Unlabeled Data for IMU Sensing ApplicationsSenSys 2021 · 2021
• Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning TechniquesSensors 20(11):3127 · 2020
• Predicting personality from patterns of behavior collected with smartphonesProceedings of the National Academy of Sciences · 2020
• Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythmsNature Communications · 2019
• Mild dehydration identification using ML on autonomic responses to cognitive stressNutrients · 2019
• Association between the Munich Chronotype Questionnaire and Wrist ActigraphySleep Disorders · 2018
• Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participantsScientific Reports · 2018
• The hypoxic burden of sleep apnoea predicts cardiovascular disease-related mortality: the Osteoporotic Fractures in Men Study and the Sleep Heart Health StudyEuropean Heart Journal · 2018
• Accelerometry-Assessed Latent Class Patterns of Physical Activity and Sedentary Behavior With MortalityAmerican Journal of Preventive Medicine · 2017
• Irregular sleep/wake patterns are associated with poorer academic performance and delayed circadian and sleep/wake timingScientific Reports · 2017
• Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank StudyPLOS ONE · 2017
• How many steps/day are enough? For adultsInternational Journal of Behavioral Nutrition and Physical Activity · 2011
• Greater cardiovascular responses to laboratory mental stress are associated with poor subsequent cardiovascular risk status: a meta-analysis of prospective evidenceHypertension · 2010
• Circadian rhythm of wrist temperature in normal-living subjects. A candidate of new index of the circadian systemPhysiology & Behavior · 2008
• BeatFlow-ECG: Rectified Flow for ECG Reconstruction from Indirect Wearable SignalsICLR 2027 submission (under review)
• CardioFM: A Multimodal Foundation Model for Joint ECG and PPG Representation Learning
• DPIKAN: Decomposed Physics-Informed KANs for Physiological Signal Representation LearningICLR 2027 submission (under review)
• Foundation Models Defining a New Era in Human Activity Recognition: A Survey and Outlook
• PhysioSkeptic: Skeptical Reasoning Grounded in Signal Quality for Multimodal Rhythm AnalysisICLR 2027 submission (under review)