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Blog Posts (309)
- Ghost Murmur, Quantum Heartbeat Detection, and the Reality of Cardiac Sensing
- How to Lower Resting Heart Rate: What the Trials Show
- Zone 2 Heart Rate: What It Is and How to Find Yours
- Capillary refill time: normal values, how to test it, and a shoe that measures it
- Glucose monitor watch: what works today and what the research shows
- Apple Watch hypertension notifications: how PPG spots possible high blood pressure
- Smartwatch AF detection vs Holter: what a 150-person wrist-worn study found
- Cuffless Blood Pressure Validation: The ESH Tests Explained
- Why Wearables Sometimes Skip Heart Rate Readings: Selective Reporting for PPG Under Motion
- Bilateral Ring PPG: What a 1,810-Person Study Shows About HR, BP, and Left–Right Differences
- AFib Burden Monitoring on a Smartwatch: What Can Be Estimated and When ECG Still Matters
- AFib Detection After Catheter Ablation With a Wearable: Where Smartwatches Help Between Formal Rhythm Checks
- Ambulatory Blood Pressure Monitor vs Smartwatch: Accuracy, Use Cases, and Why They Are Not the Same
- Home Sleep Apnea Test vs Polysomnography: Where Wearables Fit and What They Cannot Replace
- Masked Hypertension and Wearable Detection: Why Clinic Blood Pressure Can Miss Risk
- Overnight Oximetry vs Sleep Study: What Oximetry Can Show, What It Misses, and Why False Reassurance Happens
- Paroxysmal Atrial Fibrillation Monitoring With Wearables: Why Intermittent AF Is Hard to Catch
- Pulse Oximeter Accuracy in Dark Skin: FDA Guidance and What Clinicians Should Know in 2025 and 2026
- SpO2 Monitoring in Heart Failure Patients: What Home Oxygen Tracking Can and Cannot Tell You
- White-Coat vs Masked Hypertension: Where Wearables Help and Where ABPM Still Wins
- Are Camera Vital Signs HIPAA Compliant?
- Can a Camera Measure Oxygen Saturation?
- Can a Phone Camera Measure Respiratory Rate?
- Can a Webcam Measure Heart Rate?
- Do You Need an App for Camera Vital Signs?
- Do You Need an Infrared Camera for rPPG?
- Is Camera Blood Pressure Accurate?
- Remote Patient Monitoring Without Wearables
- rPPG for Preoperative Telehealth Screening
- Telehealth Vital Signs Without Devices: What Actually Works?
- How Accurate Are Fitness Trackers for Heart Rate During Exercise?
- Oura Ring Heart Rate Accuracy During Exercise: Measurement Limitations
- Polar Heart Rate Monitor vs Smartwatch: Accuracy Comparison
- PPG vs ECG Heart Rate Accuracy During Exercise: A Direct Comparison
- PPG Wearable Accuracy During Sleep: Heart Rate and HRV Validation
- How PPG Wearables Are Validated in Clinical Trials: Methods and Standards
- Samsung Galaxy Watch Heart Rate Accuracy: What Studies Actually Show
- Wearable Heart Rate Accuracy and Skin Tone: What the Research Shows
- Wearable SpO2 Accuracy Comparison: What Studies Show for Consumer Devices
- Which Wearable Has the Most Accurate Heart Rate Monitor in 2026?
- Bradycardia Detection on Smartwatches: Accuracy, Thresholds, and Clinical Caveats
- Can a Smartwatch Detect Atrial Flutter? PPG vs ECG for Flutter Screening
- Can a Smartwatch Detect PVCs? What PPG Can and Can’t See
- Non-Invasive Hemoglobin Monitoring: Can PPG Estimate Hb in Real Time?
- Non-Invasive Intracranial Pressure Monitoring: Where PPG Fits and Where It Doesn’t
- PPG Anemia Detection: Optical Features, Confounders, and Validation Designs
- Pulse Oximeter for COPD: How to Use SpO2 Readings Safely
- Tachycardia Detection on Smartwatches: Accuracy, False Alarms, and When to Trust PPG
- Wearable AHI Estimation: Can PPG Approximate the Apnea-Hypopnea Index?
- Wearable Hypoglycemia Detection: Can PPG Help Predict Low Blood Sugar?
- Notch Filter for PPG: Removing 50/60 Hz Powerline Noise Without Distorting Pulses
- PPG Analog Front End Design: How Hardware Choices Set the Noise Floor
- Continuous Wavelet Transform for PPG: Scalograms, Ridge Tracking, and Use Cases
- Median Filter for PPG: When It Helps and When It Hurts Waveform Features
- Motion Artifact Detection in PPG: How to Flag Bad Windows Before Estimation
- PPG Peak Detection Algorithms: Finding Systolic Peaks in Noisy Waveforms
- PPG Preprocessing Pipeline for Wearables: From Raw Signal to Clean Beats
- Savitzky-Golay Filter for PPG: Smoothing Without Flattening Morphology
- PPG SNR Improvement Techniques: Raising Signal Quality Before Denoising
- STFT Heart Rate Tracking: Accurate PPG During Motion
- Emotion Detection Wearables: Where PPG Works, and Where It Fails
- Driver Alertness Monitoring with PPG: What Wearables and In-Cabin Sensors Can Detect
- Can PPG Help Detect Driver Distraction? What the Signal Can and Cannot Show
- PPG for Driver Monitoring Systems: Stress, Alertness, and Drowsiness Signals
- Driver Stress Detection with PPG: A Practical Guide for Automotive Monitoring
- PPG for Emotional Arousal Detection: Which Biomarkers Actually Help?
- Neonatal Perfusion Index Explained: How PPG Supports NICU Monitoring
- Can PPG Support Early Neonatal Sepsis Monitoring?
- PPG in NICU Monitoring: Emerging Uses Beyond Standard Pulse Oximetry
- Stress Recovery Monitoring with PPG: Why Recovery May Matter More Than Stress Scores
- Masked Autoencoders for PPG: How MAE Pretraining Works on Pulse Waveforms
- Multimodal Transformers for PPG: Fusing Pulse, Motion, and ECG
- State Space Models for PPG: Can Mamba Beat Transformers on Long Waveforms?
- Temporal Convolutional Networks for PPG: Why TCNs Still Matter
- Why ConSensus Matters for the Future of PPG and Multimodal Biosensing
- Bandpass Filter for PPG, Practical Design for Pulse Retention
- Kalman Filter for PPG Motion Artifact Suppression
- Wavelet Denoising for PPG Signals
- Can a Smartwatch Detect Stress? PPG, HRV, and What Science Shows
- Driver Drowsiness Detection with PPG: How Pulse Sensors Monitor Fatigue
- Neonatal Oxygen Monitoring Guide: SpO2 Targets, Sensors, and Clinical Protocols
- Newborn Oxygen Levels Chart: Normal SpO2 Ranges from Birth Through 28 Days
- Owlet Smart Sock Accuracy Review: What Parents and Clinicians Should Know
- PPG in Affective Computing: Applications from Gaming to Therapy
- Remote Patient Stress Monitoring: PPG Wearables in Telehealth
- How Your Wearable Stress Score Actually Works (2026)
- Stress Tracker Accuracy Guide: What Wearables Actually Measure
- Arterial Line Waveform Interpretation: Normal Anatomy, Damping, and PPG Comparison
- Abnormal Arterial Waveforms: Visual Guide to Pulsus Paradoxus, Alternans, and More
- Phlebostatic Axis: Location, Purpose, and Why It Matters for Arterial Pressure Monitoring
- PPG Baroreflex Sensitivity Measurement: Methods, Clinical Value, and Wearable Applications
- Pulse Scale Grading System: 0 to 3+ Scale, Palpation Technique, and PPG Comparison
- Pulse Wave Analysis Using PPG: Waveform Features, Vascular Health, and Clinical Applications
- Pulse Wave Velocity Measurement Methods: Equipment, Protocols, and PPG-Based Approaches
- Pulsus Bisferiens: Double-Peaked Pulse Waveform, Causes, and PPG Detection
- Underdamped Arterial Line Troubleshooting: Causes, Square Wave Test, and PPG Parallels
- What Is Pulse Wave Velocity? Normal Ranges, Clinical Thresholds, and PPG Estimation
- ECG vs Heart Rate Monitoring: Electrical Signals vs Optical Pulse Detection
- PPG Attention Mechanisms and Transformer Architectures for Cardiac Signal Processing
- PPG Autoencoder Models for Cardiac Anomaly Detection and Signal Quality Screening
- PPG Heart Rate Measurement: Algorithms, Accuracy, and Practical Implementation
- PPG Heart Rate Sensor Explained: Optical Modules, Multi-LED Design, and Motion Compensation
- Neural Architecture Search for PPG Processing on Wearable Devices
- PPG Reading Interpretation Guide: Normal Waveforms, Abnormal Patterns, and Signal Quality
- PPG Sensor: How It Works, LED Wavelengths, and Signal Formation Explained
- PPG Sensors in Wearable Technology: From Wrist Bands to Smart Rings and Earbuds
- PPG vs ECG Accuracy Comparison: Heart Rate, HRV, and Arrhythmia Detection Data
- Contactless Vital Signs Monitoring in Telehealth: Platforms, Evidence, and Regulation
- Google Remote Patient Monitoring: Fitbit, Health AI, and PPG Innovation
- Are Heart Rate Apps Accurate? Camera PPG vs ECG Evidence
- Can Your Phone Camera Measure Heart Rate? How It Works
- How to Check Your Pulse: Manual Methods and Phone PPG Alternatives
- iPhone Camera Heart Rate: How It Works and Best Apps in 2026
- Patient Monitors and PPG Sensors: How Pulse Oximetry Powers Bedside Care
- Patient Monitoring Systems and PPG: From Hospital Bedside to Home Health
- Remote Monitoring of Vital Signs with PPG: Platforms, Evidence, and FDA Status
- rPPG Technology: How Remote Photoplethysmography Captures Your Pulse from Video
- Blood Pressure Watch Guide: How PPG Wearables Measure BP and What to Know Before You Buy
- Fitbit Heart Rate Accuracy: What Validation Studies and Real-World Data Show
- Most Accurate Wrist Blood Pressure Monitor: Evidence-Based Guide for 2026
- Oura Ring Sleep Tracking Accuracy: Polysomnography Validation Review
- Pulse Oximeter Readings Chart: SpO2 and Heart Rate Ranges Explained
- WHOOP Calorie Accuracy: How Reliable Is Its Energy Expenditure Tracking?
- Wrist Blood Pressure Monitor Accuracy
- PPG AF Burden Monitoring: What Wearables Can and Cannot Tell You About Atrial Fibrillation Load
- PPG Ambulatory Oxygen Saturation Monitoring: What Continuous SpO2 Tracking Gets Right
- PPG Hypotension Prediction for Ward Monitoring: How Early Can Optical Signals Warn of Deterioration?
- PPG Nocturnal Atrial Fibrillation Detection: Why Overnight Rhythm Irregularity Matters
- PPG Nocturnal Blood Pressure Dipping: Can Optical Signals Approximate Overnight BP Patterns?
- PPG Nocturnal Hypoxemia Monitoring: How Wearables Track Overnight Oxygen Drops
- PPG Orthostatic Hypotension Detection: Can Optical Pulse Signals Catch a Standing BP Drop?
- PPG Oxygen Desaturation Index in Wearables: How ODI Helps Screen for Nighttime Breathing Problems
- PPG Pulse Pressure Variation Noninvasive Monitoring: Can Pleth Variability Guide Fluid Response?
- PPG Sleep Fragmentation Biomarkers: What Optical Pulse Signals Reveal About Broken Sleep
- Photoplethysmography Sensor: Types, Design, and Selection Guide
- PPG for Cardiac Monitoring: From Heart Rate to Heart Failure Detection
- PPG Heart Rate Accuracy: What the Research Actually Shows
- PPG for HRV: How Wearables Measure Heart Rate Variability
- PPG Medical Meaning: What PPG Means in Clinical Practice
- PPG Signal: What It Is, How It's Measured, and What It Tells You
- PPG Waveform: Anatomy, Features, and Clinical Meaning
- Pulse Plethysmography: How It Works and Why It Matters
- What Does PPG Stand For? A Complete Guide to Photoplethysmography
- What Is Pleth on a Hospital Monitor? The PPG Waveform Explained
- PPG Continual Learning
- PPG Convolutional Neural Network
- PPG Data Augmentation
- PPG Ensemble Methods
- PPG Recurrent Neural Network
- PPG Transfer Learning
- rPPG Driver Drowsiness Monitoring
- rPPG FDA Regulatory Status
- rPPG Lighting Conditions Accuracy
- rPPG Multispectral Imaging
- rPPG Neonatal Infant Monitoring
- rPPG Privacy Data Ethics
- rPPG Signal Decomposition ICA
- rPPG Spoofing Liveness Detection
- rPPG Video Conferencing Vital Signs
- rPPG vs Contact PPG Accuracy
- PPG Clinical Grade vs Consumer Wearables
- PPG Continuous SpO2 Monitoring Wearables
- PPG Ear Canal Earable Monitoring
- PPG Garmin Apple Watch Validation
- PPG Ieee Ansi Wearable Testing Standards
- PPG Patch Sensor Ambulatory Monitoring
- PPG Ring vs Wrist Sensor Comparison
- Wearable Pulse Oximeter Guide
- Wrist PPG Accuracy Limitations
- PPG Foundation Models: The Complete Guide to Every Pre-Trained Model for Photoplethysmography
- Camera Heart Rate Clinical Validation
- Contactless Vital Signs Detection
- Eulerian Video Magnification Ppg
- Facial PPG Signal Extraction
- PPG AC DC Ratio Explained
- LMS and NLMS Adaptive Filters for PPG Noise Removal
- PPG Vascular Age Estimation: Biological Aging Biomarkers from Pulse Wave Analysis
- PPG for Alcohol Intoxication Detection: Non-Invasive Blood Alcohol Sensing
- PPG Signal Changes at High Altitude: Monitoring Hypoxia and Acclimatization
- Ambient Light Interference in PPG: Rejection Techniques and Sensor Design
- PPG for Anesthesia Depth Monitoring: Surgical Applications of Photoplethysmography
- PPG as an Aortic Stiffness Biomarker: Evidence, Limitations, and Clinical Use
- ML Classifiers for Cardiac Arrhythmia Detection from PPG: Algorithms, Accuracy & Clinical Evidence
- PPG Atrial Fibrillation Screening
- PPG Augmentation Index (AIx): Waveform Analysis for Arterial Stiffness Assessment
- PPG Autonomic Function Testing: Nervous System Assessment via PPG-Derived HRV
- PPG Ballistocardiography Comparison
- Measuring Baroreflex Sensitivity and Autonomic Tone with PPG
- PPG Baseline Wander Removal: Drift Correction Techniques for Clean Signals
- PPG Blood Pressure Estimation Methods: PTT, PWV, and Machine Learning Approaches
- PPG Butterworth Filter Design
- PPG Camera Based rPPG
- The Cardiac Cycle in the PPG Signal: Systole, Diastole, and What Each Phase Reveals
- Non-Invasive Cardiac Output Estimation from PPG Waveform Morphology
- PPG Cardiac Rehabilitation Monitoring
- Circadian Rhythm Tracking via PPG: How Pulse Signals Reveal Your Body Clock
- PPG for Cognitive Load Detection: Mental Workload Monitoring from Pulse Signals
- Compressed Sensing for Low-Power PPG: Theory, Algorithms & Hardware Implementation
- PPG Contact Pressure Optimization: How Sensor Force Affects Signal Quality
- Continuous Blood Pressure Monitoring from PPG: Beat-to-Beat Waveform Analysis
- Public PPG Datasets and Benchmarks for Research: A Comprehensive Guide
- Deep Learning for PPG Heart Rate Estimation: CNN, LSTM & Hybrid Architectures
- PPG-Based Delirium Detection in the ICU: Autonomic Signatures and Early Warning
- PPG Diabetes Cardiovascular Risk
- PPG Applications in Hemodialysis Monitoring: Fluid Status, Access Patency & Hemodynamic Tracking
- The Dicrotic Notch in PPG: Physiology, Clinical Significance, and What Changes It
- PPG for Driver Fatigue Monitoring: Detecting Drowsiness with Photoplethysmography
- Pharmacological Drug Response Monitoring via PPG: Cardiovascular Effects, Anesthesia & Therapeutic Drug Monitoring
- PPG for Emotion Recognition: Affective Computing with Photoplethysmography
- Empirical Mode Decomposition and EEMD for PPG Signal Analysis
- Post-Exercise Autonomic Recovery Monitoring via PPG: Methods, Metrics, and Applications
- Explainable AI for PPG Models: Saliency, SHAP, and Clinical Interpretability
- Federated Learning for PPG: Privacy-Preserving Wearable Health Models
- Abdominal PPG for Fetal Heart Rate Monitoring: Non-Invasive Prenatal Surveillance
- Few-Shot Learning for PPG: Personalizing Models with Minimal Calibration Data
- Generative AI for PPG Signal Synthesis: GANs, Diffusion Models, and Data Augmentation
- Non-Invasive Glucose Monitoring via PPG: Current State of the Art
- Graph Neural Networks for PPG: Modeling Physiological Relationships Across Multi-Site Signals
- PPG Markers for Heart Failure Prediction: Waveform Features, Risk Stratification & Prognosis
- History of Photoplethysmography: From 1930s Invention to Modern Wearables
- PPG Home Telehealth Monitoring
- PPG vs ECG for HRV: How Motion Artifacts Affect Heart Rate Variability Accuracy
- Dehydration Detection from PPG Signal Features: Methods, Evidence & Challenges
- PPG Hypertension Cuffless Monitoring
- Independent Component Analysis for Separating PPG Signal Components
- PPG Inter-Beat Interval Accuracy: IBI Precision vs ECG Gold Standard
- PPG ISO Standards Overview: ISO 80601-2-61 and Regulatory Requirements for PPG Devices
- Kalman Filtering for Continuous PPG Heart Rate Estimation
- Knowledge Distillation for PPG: Compressing Deep Models for Wearable Deployment
- Choosing Optimal LED Wavelengths for PPG Sensing: A Design Engineer's Guide
- PPG Long Covid Autonomic Dysfunction
- End-to-End Machine Learning Pipeline for PPG Signal Analysis
- PPG Mental Health Anxiety Depression
- PPG Morphology Features
- Multi-Wavelength PPG Signal Fusion: Algorithms for Multi-Channel Processing
- Simultaneous Multi-Site PPG Measurement: Techniques, Applications & Pulse Transit Time
- Multi-Task Learning for PPG: Joint Estimation of Heart Rate, SpO2, Blood Pressure and More
- PPG in the NICU: Photoplethysmography for Premature Infant Monitoring
- Types of Noise in PPG Signals: Classification, Sources & Mitigation Strategies
- PPG for Occupational Health and Workplace Wellness Monitoring
- Objective Pain Assessment with PPG: Measuring Pain from Photoplethysmography Signals
- PPG Monitoring in Pediatric and Neonatal Patients: Unique Challenges and Methods
- PPG Perfusion Index Clinical
- PPG Perioperative Monitoring
- PAD Detection with PPG: Ankle-Brachial Index, Pulse Wave Analysis & Screening
- Estimating Peripheral Vascular Resistance from PPG: Methods and Clinical Context
- Photodetector Types and Technologies for PPG Sensing: A Comprehensive Guide
- Monte Carlo and Photon Diffusion Models for PPG Simulation: A Technical Guide
- PPG in Postoperative Monitoring: Continuous Vital Signs After Surgery
- Low-Power PPG System Design for Wearables: LED Drive, Sampling Strategies & Power Budgets
- PPG Power Spectral Analysis: Frequency Domain Methods for Signal Interpretation
- Maternal Health Monitoring via PPG During Pregnancy: Preeclampsia, Fetal HR & Hemodynamic Assessment
- Pulse Transit Time from PPG: How It Estimates Blood Pressure Without a Cuff
- PPG Radar Based Vital Signs
- Real-Time PPG Signal Processing on Microcontrollers: Embedded Implementation Guide
- RLS Filter for PPG Motion Artifact Cancellation
- Reflectance vs Transmittance PPG: Sensor Modes Compared for Accuracy, SNR & Wearable Design
- Reinforcement Learning for Adaptive PPG Monitoring: Dynamic Sampling and Alerting
- PPG Remote Patient Monitoring Role
- PPG Respiratory Rate Estimation: Extracting Breathing Rate from Photoplethysmography
- PPG Sampling Rate Optimization: How Sample Rate Affects Signal Accuracy
- PPG Second Derivative (SDPPG/APG): What Each Wave Means and How to Use It
- Self-Supervised Learning for PPG: Contrastive Methods and Pre-Training Without Labels
- PPG Sensor Design Guide
- PPG Biomarkers for Early Sepsis Screening: Signal Features, Evidence & Clinical Potential
- PPG Signal Quality Assessment: SQI Metrics, Methods & Implementation
- Singular Value Decomposition (SVD) for PPG Signal Processing
- PPG Skin Tone Bias: How Melanin Affects Accuracy in Pulse Oximeters and Wearables
- PPG Sleep Apnea Detection
- PPG Sleep Staging: How Accurate Are Wearable Sleep Trackers?
- PPG Smartphone Camera Vitals
- PPG in Space Medicine: Cardiovascular Monitoring in Microgravity
- PPG SpO2 Accuracy Limitations
- Athletic and Sports Performance Metrics from PPG: VO2max, Lactate Threshold & Recovery Analysis
- PPG Stress Detection Methods: Physiological Stress Measurement from PPG Features
- Temperature Effects on PPG Signals: How Cold, Heat, and Skin Temperature Alter Accuracy
- Light Propagation in Biological Tissue for PPG: Optical Properties and Photon Transport
- Transformer Architectures for PPG Signal Analysis
- PPG Vascular Age Assessment: Arterial Stiffness Measurement from Pulse Wave Analysis
- Venous Pulsation Effects on PPG Signals: Sources, Mechanisms, and Mitigation
- PPG in Veterinary Medicine: Animal Health Monitoring with Photoplethysmography
- PPG and Virtual Reality Biofeedback: Real-Time Physiological Adaptation in Immersive Environments
- PPG vs Abp Comparison
- PPG vs ECG Comprehensive
- PPG Waveform Decomposition: Extracting Physiological Components from the Pulse Wave
- Wavelet Transform Denoising for PPG Signal Cleaning
- PPG Wearable Form Factors: Ring, Patch, Earbud, and Headband Sensor Design
- PPG for Wound Healing Assessment and Tissue Perfusion Monitoring
- Remote Photoplethysmography Accuracy Factors
- rPPG Algorithms Deep Dive
- Remote PPG (rPPG): The Definitive 2026 Guide to Contactless Vital Signs Monitoring
- rPPG HRV Measurement Accuracy
- rPPG Telehealth Remote Monitoring
- Smartwatch Heart Rate Accuracy
- How Accurate Is Apple Watch Heart Rate? Clinical Evidence Review
- How Accurate Is WHOOP? Heart Rate, HRV & Sleep
- How Accurate Is Oura Ring? Sensor Data vs Clinical Studies
- How Accurate Is Garmin VO2 Max? Data, Studies & Limitations
- Heart Rate Variability (HRV) Chart by Age: Normal Ranges & What They Mean
- HRV Chart for Females: Normal Ranges, Menstrual Cycle & Age Factors
- How to Increase HRV: 12 Evidence-Based Ways to Improve Heart Rate Variability
- Blood Oxygen Level Chart: Normal SpO2 Ranges by Age & Health Condition
- What Is Photoplethysmography (PPG)? The Complete Technical Guide
- Best Heart Rate Monitor 2026: PPG Expert Picks for Every Use Case
- PPG Motion Artifact Removal: Algorithms, Methods & Implementation Guide
- Green vs Red vs Infrared Light in PPG Sensors: Wavelength Selection Guide
- Can Wearables Detect AFib? Clinical Evidence & FDA-Cleared Devices
- Cuffless Blood Pressure Monitoring: When Will It Actually Work?
- Apple Watch vs Chest Strap: Heart Rate Accuracy Comparison
Learn Topics (10)
- What is SpO2 in PPG? Oxygen Saturation Explained
- What is IBI (Interbeat Interval) in PPG?
- Perfusion Index as a PPG Signal-Quality Metric (AC/DC)
- What Is HRV? Heart Rate Variability Explained
- What is the AC/DC Ratio in PPG Signals?
- What is Signal Quality Index (SQI) in PPG?
- What is Pulse Transit Time (PTT) in PPG?
- Pulse Wave Velocity from PPG: PTT and Path Length
- What is Augmentation Index (AIx) in PPG?
- What is PPG Waveform Morphology Analysis?
Algorithms (50)
- LMS Adaptive Filter for PPG Motion Artifact Removal
- RLS Filter for PPG: Recursive Least Squares Signal Processing
- ICA for PPG: Independent Component Analysis
- SVD for PPG Signal Processing: Singular Value Decomposition
- Kalman Filter for PPG Heart Rate Tracking
- LSTM Neural Networks for PPG Signal Analysis
- CNN for PPG Signal Processing and Disease Detection
- Transformer Models for PPG: Self-Attention in Biosignal Analysis
- Wavelet Decomposition for PPG Signal Processing
- EMD for PPG: Empirical Mode Decomposition
- NLMS Adaptive Filter for PPG Motion Artifact Removal
- Pan-Tompkins Algorithm Adapted for PPG Peak Detection
- PPG Beat Segmentation: Extracting Individual Pulse Waveforms
- FFT-Based Heart Rate Estimation from PPG Signals
- Autocorrelation Heart Rate Estimation from PPG
- MUSIC Algorithm for PPG Spectral Estimation
- SDNN: Standard Deviation of NN Intervals in PPG HRV
- RMSSD: Root Mean Square of Successive Differences in PPG HRV
- pNN50: Percentage of Successive Differences >50ms in PPG HRV
- LF/HF Ratio: Frequency-Domain HRV Analysis from PPG
- HF Power: High-Frequency HRV from PPG
- SpO2 Calibration: Ratio of Ratios Method in Pulse Oximetry
- Cuffless Blood Pressure Estimation via Pulse Transit Time
- Pulse Wave Analysis for Blood Pressure Estimation from PPG
- Respiratory Rate Estimation from PPG Envelope Analysis
- HRV-Based Stress Detection Algorithms for PPG Wearables
- PPG-Based Sleep Staging Algorithms for Wearables
- AFib Detection via RR Interval Irregularity from PPG
- PAD Screening from PPG Waveform Morphology
- Vascular Age Estimation from PPG Waveform Analysis
- Signal Quality Index (SQI) Algorithms for PPG
- Template Matching for PPG Beat Detection and Classification
- PCA for PPG Dimensionality Reduction and Feature Extraction
- Bandpass Filtering for PPG Signal Conditioning
- Notch Filter for PPG Powerline Interference Removal
- Median Filter for PPG Spike and Impulse Noise Removal
- Savitzky-Golay Filter for PPG Smoothing and Differentiation
- Hilbert Transform for PPG Instantaneous Frequency Analysis
- STFT for PPG Time-Frequency Analysis
- Continuous Wavelet Transform (CWT) for PPG Scalogram Analysis
- Compressed Sensing and Sparse Recovery for PPG
- Motion Artifact Detection Algorithms for PPG
- Baseline Wander Removal from PPG Signals
- Systolic Peak and Valley Detection in PPG Signals
- Dicrotic Notch: Meaning, Physiology & PPG Detection
- Pulse Rate Variability (PRV) vs. Heart Rate Variability (HRV)
- DFA: Detrended Fluctuation Analysis for PPG HRV
- Sample Entropy for PPG Signal Complexity Analysis
- Poincaré Plot Analysis for PPG Heart Rate Variability
- Attention Mechanisms in PPG Deep Learning Models
Conditions (10)
- PPG for Atrial Fibrillation Detection
- PPG for Sleep Apnea Detection
- PPG for Hypertension Monitoring
- PPG for Diabetes Detection and Glucose Monitoring
- PPG for Stress Detection
- PPG and COVID-19: Remote Monitoring Applications
- PPG for Heart Failure Monitoring
- PPG for COPD Monitoring
- PPG for Peripheral Artery Disease (PAD) Assessment
- PPG for Sepsis Monitoring
Wearables (8)
- Apple Watch PPG Sensor Specs and Accuracy
- Garmin Elevate v5 Optical Sensor: PPG Specs and Accuracy
- Fitbit PPG Sensor Accuracy and Algorithms
- Oura Ring PPG Sensor: Finger Measurement Advantage
- Biostrap PPG Sensor: Research-Grade Wearable
- Samsung Galaxy Watch PPG Sensor Specs
- WHOOP PPG Sensor and Recovery Algorithm
- Polar Heart Rate Sensors: H10 Chest Strap vs Vantage PPG
Comparisons (20)
- Whoop vs Apple Watch (Apple Watch vs Whoop): Sleep and HRV Accuracy
- Whoop vs Oura (Oura vs Whoop): Sleep, HRV and Accuracy
- Garmin vs Apple Watch for Health Monitoring (2026)
- Oura Ring Gen 3 vs Gen 4 2026: PPG Sensor Upgrade Comparison
- WHOOP 4.0 vs 5.0: PPG Sensor Upgrade and Recovery Changes
- Apple Watch Ultra 2 vs Garmin Fenix 8: Health & Specs
- Fitbit vs Apple Watch: Heart Rate, Sleep & AFib Accuracy
- Polar vs Garmin: Data Quality vs Complete Training Suite
- Samsung Galaxy Watch vs Apple Watch 2026: PPG Comparison
- Forerunner 965 vs Fenix 8: Battery, Water Rating and ECG
- Ultrahuman vs Oura (Oura vs Ultrahuman): What the Evidence Shows
- Oura Ring vs Apple Watch (Apple Watch vs Oura): Accuracy Compared
- WHOOP vs Garmin: Sleep & Recovery Accuracy Compared
- Fitbit vs Garmin: Heart Rate Accuracy Compared
- Is Pixel Watch Better Than Apple Watch? Health Compared
- Amazfit vs Garmin 2026: PPG Sensor and Value Comparison
- Withings ScanWatch 2 vs Apple Watch: ECG, SpO2 and Battery
- COROS vs Garmin (2026): Battery, Sensors & Accuracy
- Suunto vs Garmin 2026: Battery, Blood Oxygen and Specs
- Samsung vs Garmin: ECG, Blood Pressure and Battery Compared
Charts (13)
- Pulse Pressure: What It Is, Normal Range and Calculator
- Max Heart Rate Calculator by Age (Tanaka vs 220 − Age)
- Normal Sleeping Heart Rate by Age and Sex (Chart)
- Normal Heart Rate While Walking: Ranges by Age
- Resting Heart Rate Chart by Age and Sex (Percentiles)
- Normal Heart Rate by Age: Children to Adults (Chart)
- Heart Rate Training Zones Chart | 5-Zone Model with %Max HR Guide
- Dangerous Heart Rate Levels Chart | When to Seek Emergency Care
- VO2 Max Chart by Age and Sex: Percentiles and What's Good
- Blood Pressure Chart: What Your Numbers Mean (AHA Ranges)
- Normal Respiratory Rate by Age: Breathing Rate Chart
- What Is a Good HRV Score? | Personal Baselines and Context
- Sleep Stages Distribution Guide | Light, Deep and REM Sleep
Research: Models (92)
- Aether
- AI-PPG age (PPG-VascularAge)
- AnyMo
- AnyPPG
- Apple accelerometer FM via PPG→ACC distillation
- Apple WBM (Wearable Behavioral Model)
- Apple wearable biosignals FM
- BeatFormer
- Bio-PM
- BLPM (Brain Latent Predictive Model)
- CAP
- CapFM
- CardioFM
- CardioState-JEPA
- CLEF
- CM-SSL (cross-modal token-vocabulary SSL for ECG/PPG)
- CogAdapt
- CrossHAR
- CSFM (Cardiac Signal FM)
- DNA-PPG
- ECG-FM
- ECG-GPT
- ECG-PPG JEPA (Bridging ECG and PPG; unnamed in paper)
- ECGFM-U-Lite (1D-MobileViT student distilled from a unified ECG FM)
- ECGFounder
- EdgeHAR
- FemWear
- Geenjaar multimodal-supervision PPG FM
- GlucoFM
- GlucoPRISM (protocol-supervised CGM encoder; Trait/State/Sensor bands)
- Google LSM
- Google LSM-2 / AIM
- GPT-PPG
- HALO
- HARNet / OxWearables SSL
- HiMAE
- HiPPT
- HuBERT-ECG
- IMU2CLIP
- IMUDINO
- IMUGPT
- Inertia-1
- InrtlWrist
- Lapras (latent-reasoning post-training for time-series language models)
- LIMA-Mamba
- LIMU-BERT
- LuminaECG
- M2AE (Biosignal Fingerprinting)
- MIRA
- MS-ECG-FM
- MSMA-PPG
- NeuroRVQ (PPG tokenizer)
- NormWear
- NormWear-2
- OpenSLA
- OSF (Open Sleep Foundation Models)
- PaPaGei-S
- PAT (Pretrained Actigraphy Transformer)
- PhysioOmni
- PPG-LM
- ProtoMM (Pulse-Motion)
- Pulse-PPG
- PulseLM
- PulseOx-FM
- RAE-PPG
- RelCon
- RL-PPG (Real-Life PPG encoder; Emognition)
- Samsung MMR
- SensorFM (Google)
- Sensori
- SensorLM
- SiamQuality
- SIGMA-PPG
- SleepFM (v1)
- SleepFM-2
- SleepLM
- SLIP (Sensor Language-Informed Pretraining; any-channel sensor-language FM)
- SOTER
- SPOTR
- StepFM
- SynHAR
- TEX-MEX
- Text2IMU
- TF-MambaNet
- UniMTS
- VarMAE
- VitalAgent
- WavesFM
- wHuBERT
- Wonderwall
- xECG
- xMAE
Research: Datasets (241)
- A Longitudinal and Multimodal physiological signals dataset of Para handcycling training and race for SCI Rehabilitation
- A Multimodal Dataset for Investigating Working Memory in Presence of Music
- AAUWSS
- ADARP (AUD EMA stress, E4)
- Adelaide ASPEN wearable-PSG garment
- AFPDB
- AI-READI
- Airwave Health Monitoring Study
- alameda-pd
- AQUASET
- ArWISE Vol4
- AssemblyHAR
- Auricle
- bandx-activity
- Barocontrol in healthy subjects (Mol/van Wezel, Radboud)
- Bed-Based BCG (Carlson, K-State)
- biagetti
- BIDMC PPG and Respiration (Pimentel 2016 / PhysioNet)
- BIDSleep
- BIG IDEAs Lab Glycemic Variability and Wearable Device Data
- BIOSTRESS (psychologist induction + exam)
- Blue and Green PPG (Shchelkanova / Mendeley)
- Blumio
- BMD-HS
- BrisT1D-Open
- Brno University of Technology Smartphone PPG Database (BUT PPG)
- CACHET-CADB: A Contextualized Ambulatory Electrocardiography Arrhythmia Dataset
- CAN-STRESS (ambulatory E4 stress 0–9)
- CapnoBase IEEE TBME RR benchmark (Karlen 2013)
- capture-24
- CardioWave-Portable
- Chapman–Shaoxing–Ningbo 12-lead ECG arrhythmia database (PhysioNet)
- CinC / PhysioNet Challenge 2015
- CLAS
- CLBP-400
- Cleveland Family Study (CFS)
- CODE-15%: large annotated 12-lead ECG dataset (Telehealth Network of Minas Gerais)
- Comprehensive IMU dataset for sensor layouts in HAR + intensity (Feng)
- Continuous cuffless BP via graphene bioimpedance tattoos (PhysioNet)
- COVID Lockdown Gear Sport (longitudinal wearable + EMA)
- CRHE
- D1NAMO
- daily-and-sports-activities
- Daphnet Freezing of Gait
- DEO
- DOSE-I
- DREAMT
- E4 Stress + Exercise (PhysioNet wearable-device-dataset)
- EarSet
- ECSMP
- EEVR
- EmoWear (E4 SAM affect)
- Empatica E4 Commercially-Clear Cluster (CogWear, Exam Stress, ScientISST MOVE, Neuro-Stress-Resilience-HCI, Wrist PPG During Exercise)
- EmpaticaE4Stress (workplace cognitive stress)
- Emteq Breathing Data VR (forehead PPG)
- EPIStress (epilepsy cognitive stress, E4+Muse)
- ePPG glucose dataset (STU Bratislava)
- ESCOLAR
- EVIORA-HAR
- FallTL
- Finger-contact ECG + dual-wavelength (660/940 nm) PPG, rest + post-exercise recovery (n=148, 444 records)
- Galaxy Watch Active2 raw PPG+ACC (PHQ-9 / GAD-7)
- GalaxyPPG
- GroupAffect-4
- Gyro-Acc-PPG (BAMI-I, Wonkwang)
- HAR70+
- HARMES
- HARTH
- HealthRing RingDatasetV2.1
- HEART-Watch
- HeartCycle: A comprehensive dataset of synchronized impedance cardiography and echocardiography for accurate hemodynamic predictions
- HHAR
- Human Sleep Project (BDSP)
- ICBHI 2017 Respiratory Sound Database
- Icentia11k single-lead continuous raw ECG (PhysioNet)
- IEEE Signal Processing Cup 2015 (TROIKA)
- IMU50
- Infrared-BP
- IoMT-SecAlarmBench (semi-synthetic ECG+PPG attack benchmark)
- IPqM-Fall
- IRIDIA-AF
- iSPL IMU-Stretch
- K-EmoCon
- Kingston ICU AF
- Landry ADL
- LARa v03
- Lightweight BP Estimation (Yongjian Li)
- Loneliness-FI
- Long-Term AF Database (LTAFDB, PhysioNet)
- Long-term ECG + wrist PPG with annotated AF episodes (Bacevičius 2024, Zenodo)
- Long-term ECG and wrist PPG with annotated AF episodes (AFPPGECG)
- Lown 2020 Polar H7
- MAIBO
- MAUS
- Mayo LBNP hypovolemia: non-invasive biomarkers during lower body negative pressure
- MBB-AVR
- mcPHASES: A Dataset of Physiological, Hormonal, and Self-reported Events and Symptoms for Menstrual Health Tracking with Wearables
- MEFAR
- MESA Sleep
- MFD
- MGMCET-FMCI-PBF
- mhealth
- MIMIC PERform
- MIMIC-BP
- MIMIC-III Waveform MATCHED
- MIMIC-III-Ext-CA
- MIMIC-III-Ext-PPG
- MIMIC-IV Waveform Database (PhysioNet preview)
- MIMIC-IV-Ext-ECG-Glucose: Temporally Aligned 12-Lead ECG and Laboratory Blood Glucose Pairs with Quality and Pharmacological Annotations
- MIMIC3-AF-Bashar
- MISSION1BP-GMU-KIME
- MIT-BIH Arrhythmia Database (PhysioNet)
- MIT-BIH Atrial Fibrillation Database (PhysioNet)
- MIT-BIH Normal Sinus Rhythm Database (PhysioNet)
- MIT-BIH Supraventricular Arrhythmia Database (PhysioNet)
- Mobilise-D Technical Validation Study (TVS) dataset
- MOODS
- Motion and heart rate from a wrist-worn wearable and labeled sleep from polysomnography
- MPMRD
- MPU-rPPG
- MrOS Sleep Study (Osteoporotic Fractures in Men, NSRR)
- Multi-site PPG (Earring / Necklace / Ring / Watch)
- Multimodal Micromobility Stress Dataset
- Muse 2 forehead PPG vs Polar H10 concurrent validity (HR / ultra-short RMSSD)
- MW-PPG-HR
- MyMove
- NeuroBioSense
- NFI_FARED
- NHANES 2011-2012 Physical Activity Monitor - Raw Data 80hz (PAX80_G)
- Normal Sinus Rhythm RR Interval Database (NSR2DB, PhysioNet)
- nuMoM2b
- NURSE (hospital stress, E4, Dryad)
- Office Everyday MWL (MW_OFFICE, n=10 E4)
- OpenNeuro ds007537
- OpenOximetry Repository (PhysioNet Restricted)
- OpenWatch
- opportunity
- OSASUD
- PAAWS R1
- PAMAP2
- ParkinSenseDB
- Photoplethysmography Device Data (Appel & Theart / Mendeley)
- PhysioNet/CinC Challenge 2017: AF classification from a short single-lead ECG (AliveCor)
- PM-EKF energy expenditure
- Podcast playback-speed physio
- PPG Heart Beat for Cognitive Fatigue Prediction (5-Gamers)
- PPG Signals for Blood Glucose Measurement (Kermani / Mendeley)
- PPG-BGL Smartwatch (Bhatia & Ekbote 2026 / Zenodo 20577959)
- PPG-BP Database (Guilin / Liang 2018)
- PPG-DaLiA
- PPG-Signal-Dataset (USC Cali)
- PPG-Sport
- PPGArrhythmia (Liu 2022)
- PTB-XL
- Pulse Transit Time PPG
- Pulse Wave Database (PWDB)
- PulseDB v2.0
- Pulsewatch
- pyPPG benchmarking
- QoL_Stress
- Radboud PTT PPG+BP (Mol 2020)
- Real-Life HAR (UDC)
- Real-World PPG Dataset (Siam et al. / Mendeley)
- REALDISP
- RealWorld HAR
- RecGym
- Regulation of Brain Cognitive States through Auditory, Gustatory, and Olfactory Stimulation with Wearable Monitoring
- Respiratory and Pulse Oximetry Waveforms from Healthy Adults During Simulated Apnoea Events
- REST-ASMR PPG Dataset (Zenodo)
- Samsung AFib/PVC study
- Samsung BP free-living study
- Samsung BP lab study
- Samsung Galaxy Watch PPG + clinical lab panel (Tulane University study 20242033; private)
- Samsung Galaxy Watch PPG pretraining corpus (~32K users, ~17M 10-s segments; private)
- Samsung MX free-living ectopic-beat set
- ScientISST MOVE: Annotated Wearable Multimodal Biosignals recorded during Everyday Life Activities in Naturalistic Environments
- SDB
- SensHAR
- Sensors Aguirre 2021
- SensSmartTech
- SHDB-AF
- Sicbaldi wrist PPG BP stratification
- Simultaneous physiological measurements with five devices at different cognitive and physical loads
- Skoda mini checkpoint
- Sleep Heart Health Study (SHHS, NSRR)
- Sleep-EDF Database Expanded (PhysioNet)
- Smartwatch PPG paired with CGM glucose (Zenodo)
- SONATA
- Soochow wristband HR + menstrual/ovulation records (Mendeley v58stpfcnm)
- SRF cognitive adaptation
- St Petersburg INCART 12-lead Arrhythmia Database (PhysioNet)
- Stanford wrist PPG AF (DeepBeat)
- Stillness 2025 (Deichman)
- Stress-Predict Dataset (E4, MIT)
- STU-BA PPG Blood Glucose Dataset (Zenodo)
- TempID fertile-ground skin temperature + ovulation labels (Zenodo 20160611)
- Texatrode long-term ECG
- Three-wearable
- TNDA-HAR
- ToLife
- TOLIFE Clinical Study A
- Towards On-Device Dehydration Monitoring Using Machine Learning from Wearable Device's Data (Shimmer3 GSR+ raw dataset)
- Treadmill fatigue
- Triple-Wavelength PPG for Hemoglobin (Abuzairi / Mendeley)
- Tutunji prolonged stress
- Two-wearables placements
- UBFC-Phys
- UCI Cuff-Less Blood Pressure Estimation (UCI 340; Kachuee 2015)
- UCI Human Activity Recognition Using Smartphones (UCI-HAR)
- UCSF ICU bedside-monitor waveforms (private; GPT-PPG / SiamQuality / SQUWA pretraining)
- UK Biobank wrist accelerometer (Axivity AX3 / field 90001)
- UMAFall
- UNIVERSE (mental workload + stress, ~315h E4)
- UQVitalSigns
- USC-HAD
- UTSA-PPG
- VitalDB
- VitalDB Arrhythmia
- VitalVideos
- w-HAR
- Walker posture E4
- Warehouse MoC+Sensor
- WARM-VR
- WatchMyHeart
- WEAR
- Wearanize+ OA
- WenXinWuYang
- WESAD
- WF-PPG
- WHAMAP
- WHARF
- WildPPG
- WIMID
- WISDM AR v1.1
- Wrist PPG During Exercise (PhysioNet wrist)
- Yoga4All
- Yunnan dual-wavelength PPG + ECG + pressure pulse wave (102 subj, 1000 Hz)
- ZCHSound
- ZU-PWD '25
- μDPad
- τ-Ring dataset (thuhci/RingTool)
Research: Papers (283)
- A lightweight ECG model with teacher-derived integrated medical semantic preservation for cardiac disease screening (ECGFM-U-Lite)
- LIMA-Mamba: A lightweight and distribution-robust Mamba network for PPG-based biometrics
- A Comparative Study of Signal Representations Methods and Deep Learning Architectures for PPG-Based Cuffless Blood Pressure Estimation
- A Foundation Model for Wearable Movement Data in Mental Health Research (PAT)
- A foundation model of wearable pulse oximetry reveals physiological signatures of health and cardiometabolic risk (PulseOx-FM)
- A meta-learning method with reduced data requirements for training and updating deep learning models on wearable devices
- A robust PPG foundation model using multimodal physiological supervision
- Accurate Cuffless Blood Pressure Estimation Using Conformer-Based PPG-to-ABP Waveform Reconstruction Framework
- ActiNet: an open-source tool for activity intensity classification of wrist-worn accelerometry using self-supervised deep learning
- Agentic AI-enabled discovery across large-scale sleep physiology (AI Sleep Co-Scientist)
- An AI Co-Data-Scientist for Prioritizing Candidate Biomarkers from Wearable Sensor Data (CoDaS)
- An open-source deep learning model for classifying real-world activity intensities in persons with chronic pain using a wrist-worn accelerometer
- AnyECG-Echo: Wearable Single-Lead ECG Detects Fine-Grained Structural Heart Disease Through Echo-Report Supervision
- AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild
- AnyPPG: An ECG-Guided PPG Foundation Model Trained on Over 100,000 Hours of Recordings for Holistic Health Profiling
- Apnea Burden-Guided Framework: Enhancing Out-of-Distribution Generalization in PPG-Based Sleep Apnea Characterization
- Are You Performing, Anticipating, or Observing? Role-Aware Physiological Sensing in Group Interactions
- Arterial blood pressure waveform reconstruction estimation from PPG using TCN–BiLSTM
- Association of accelerometer-measured rest-activity rhythm patterns and parameters with cardiovascular and all-cause mortality in older adults
- AutoResearcHAR: A Multi-Agent Framework for Dataset Adaptive IMU Based Human Activity Recognition
- BayaHAR: Lightweight Bayesian Few-Shot User Adaptation for On-Device Personalized Human Activity Recognition
- Beat-Synchronous Tokenization for ECG Transformers
- BenchECG and xECG: a benchmark and baseline for ECG foundation models (xLSTM)
- Beyond Simulated Benchmarks: Evaluating Motion Representations for Fall Detection Under Real-World Data Scarcity
- Bio-PM: Bio-Inspired Self-Supervised Learning for Wrist-worn Accelerometer Data
- Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation Model
- Blood Pressure Estimation from PPG: A Comparative Study of Direct and ECG-Mediated Deep Learning Pipelines
- Bridging ECG and PPG: Latent-Space Prediction for Robust Physiological Analysis
- Calibrated photoplethysmography-derived heart rate variability approximates electrocardiographic gold-standard performance for stress-state classification
- Calibration-Based Cuffless Blood Pressure Estimation Using a Dilated-Residual Attention U-Net
- CAP: Towards PPG Universal Representation Learning with Patient-level Supervision
- CapFM: A Foundation Model for Capacitive Touch Sensing
- CapWear: Smart Footwear for Peripheral Perfusion Monitoring by Continuous Plantar Capillary Refill Time Estimation
- CardioNets: ECG-CMR Cross-Modal Foundation Model
- CardioState-JEPA: Delay-Aware Cross-Modal Learning of a Shared Cardiac Representation
- Characterizing the Performance Gap in Human Activity Recognition for Older Adults
- CHEAR: Confusion-Hierarchy Evidence-Aware Reasoning for Cost-Efficient Human Activity Recognition
- CITRUS: Candidate Inference and Temporal-tracking for Reliable, Unobtrusive Sensing of Wearable Heart Rate under Motion
- CogAdapt: Adapting Clinical ECG Foundation Models for Wearable Cognitive Load Assessment
- COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition
- Compact Latent Manifold Translation: A Parameter-Efficient Foundation Model for Cross-Modal and Cross-Frequency Physiological Signal Synthesis
- Compact PPG-Based Blood Pressure Estimation Using Hardware-Efficient Knowledge Distillation
- Continuous-Latent Predictive Modeling with Semantic Alignment for EEG-Language Foundation Models
- Coverage-Aware Virtual IMU Augmentation for Low-Resource Human Activity Recognition
- CoWear: Towards Collaborative Wearable Inertial Localization with Multiple Smart Devices
- Cross-Modal Correlation Fusion for End-to-End ECG–PPG Stress Classification
- Cross-Modality Self-Supervision for Unimodal Physiological Signals Representation Learning
- CSFM: Cardiac Signal Foundation Model
- Cuffless Blood Pressure Estimation From Wearable Photoplethysmography and Windkessel Model-Regularized Learning Approach
- Cuffless Photoplethysmogram Based Beat-Beat AI Powered Continuous Blood Pressure Estimation Towards Precision Medicine
- Data Efficient Cuffless Blood Pressure Classification from PPG using Foundation Model Embeddings and Few-Shot Learning
- DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition
- Development of an efficient deep learning model for arrhythmia detection from consumer smartwatches
- Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations
- Diffusion-Based Synthetic Data Pretraining for Enhancing Activity Recognition
- Discovering wearable sensor-derived temporal digital phenotypes and their association with hypertensive disorders in pregnancy
- DNA-PPG: A Foundation Model for Photoplethysmography via Dual Neighborhood Alignment
- Dual foundation models for accelerometry predict future health
- ECG Mortality/SCD Prediction with Generative Explainability
- ECG-GPT: ECG Image-to-Report Foundation Model
- ECG-InterpBench: Benchmarking Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders
- ECG-RSI: Recursive Self-Improvement through Targeted Electrocardiogram Waveform Evolution
- EdgeHAR: An Edge-Native Compact Sensor Foundation Model for Human Activity Recognition
- Effect of Photoplethysmogram Artifacts on Uncertainty in Atrial Fibrillation Detection
- End-to-end Automated Deep Neural Network Optimization for PPG-based Blood Pressure Estimation on Wearables
- Evaluating Sources of Diversity in Text-Driven IMU Synthesis for Wearable Human Activity Recognition
- ExpertoRhythm: Morphology-Aware Learning for Waveform Reconstruction and Cuffless Blood Pressure Estimation from Single-Channel PPG
- FALLNEST: Dual-Domain Dataset Condensation of Imbalanced IMU Data for Wearable Fall Detection
- FemWear: A Parameter-Efficient Wearable Foundation Model for Women's Health
- FiLMamba: A FiLM-Conditioned Mamba Architecture with an Energy-Efficient FPGA Accelerator for Generalizable Cuffless Blood Pressure Estimation
- Finger-to-Ear ECG: Systematic Evaluation of an Earbud-Based Cardiac Monitoring Approach
- FOUND-AF: Benchmarking ECG Foundation Models for Atrial Fibrillation Detection
- Foundation Model Artificial Intelligence for Electrocardiogram Detection of Rheumatic Mitral Stenosis
- Foundation Models Defining A New Era In Sensor-based HAR — survey review
- Foundation models for movement data: Are they ready for prime-time?
- GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring
- GlucoPRISM: Protocol-Supervised Pretraining for Cross-Cohort Glucose Transfer
- HALO: A Heterogeneity-Aware Language-Aligned IMU Foundation Model for Open-Set Human Activity Recognition
- HealthLoopQA: A Context-Aware Question Answering Benchmark for Interpreting Wearable Monitoring Data in Diabetes Care
- HEARTS: Benchmarking LLM Reasoning on Health Time Series
- HiPPT: Physiology-Grounded Wearable PPG Representation Learning via Multi-Scope Text Alignment
- Hypertension screening via awake–sleep differences in photoplethysmogram signals
- Inertia-1: An Open Exploration of Wearable Motion Foundation Models
- Inertia-1: Open Exploration of Wearable Motion Foundation Models
- Insulin Resistance Prediction from Wearables and Routine Blood Biomarkers
- Language-supervised electrocardiogram interpretation with vision transformer
- Lapras: Latent Reasoning for Time Series Language Models
- Learning from Bilateral PPG via Cross-Site Attention and Knowledge Distillation
- Learning transferable human physiology from two million hours of sleep with SleepFM-2
- Leveraging the wearable 1-lead ECG signal. From cardiac rhythm to cardiac function assessment
- LITEWAY: LIghtweight HAR via Temporal Efficient highWAY
- Menstrual cycle-related dynamics of glycemic variability in women without diabetes
- MIMIC ABP Waveform-to-Waveform Translation (s2s)
- MIMIC-III-Ext-PPG: A PPG Benchmark Dataset for Cardiorespiratory Analysis
- ML4H 2026 Symposium (Machine Learning for Health)
- MMAE-ECG: multi-scale masked autoencoder for ECG anomaly detection
- Models Got Talent: Identifying High Performing Wearable Human Activity Recognition Models Without Training
- MorphCL: Morphological Contrastive Learning for Inertial-based Human Activity Recognition
- MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms
- MS-ECG-FM: Towards a More Universal Electrocardiogram Foundation Model for Health Monitoring using Multi-source Contrastive Learning
- Multimodal Self-Supervised Learning for Wearable Sleep Staging Using Photoplethysmography and Accelerometer Signals
- Multiplex ovarian hormone monitoring in sweat using a dual-aptamer wearable sensor
- OmniIMU-Bench: Benchmarking Wrist IMU Representations Across Kinematic, Semantic and Clinical Tasks
- On Sleep-Wake Disorder Identification from Polysomnographic Representations
- OntoAR-HAR: Ontology-Guided Agentic RAG with Personalized Memory for Human Activity Recognition
- OpenMHC: Accelerating the Science of Wearable Foundation Models
- OSF: On Pre-training and Scaling of Sleep Foundation Models
- P2E-VQ: ECG-linked representation augmentation for PPG via discrete patch retrieval
- Passive Heart-Rate Monitoring During Smartphone Use in Everyday Life
- PAT: Pretrained Actigraphy Transformer
- Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Signal
- Personalized Calibration and Hybrid Feature Fusion for Continuous Blood Pressure Estimation Using PPG and ECG Signals
- Physical activities enable scalable foundation modelling for broad-spectrum health prediction (StepFM)
- Physically-Constrained Harmonic Separation (PCHS) for Robust HR/RR from Wrist PPG
- PocketTSLM: Deploying an On-Device Soft-Prompt Time-Series Language Model for Privacy-Preserving Smartphone Reasoning
- PPG Heart Age via ECG-Guided Cross-Modal Pretraining (arXiv:2608.01620)
- PPG-Bench: A Unified Benchmark for PPG Foundation Models
- PPG-FusionNet: A Dual-Branch Neural Architecture for Cuffless Blood Pressure Estimation from Photoplethysmography
- PPG-LM: A Photoplethysmography–Language Model with Multi-Level Clinical Alignment
- Practical optimization of deep learning models for cuffless blood pressure estimation from photoplethysmography
- Pretraining on Sleep Data Improves non-Sleep Biosignal Tasks
- PRISM: Retrieval-Augmented Multimodal Language Model with Heterogeneous Evidence Integration for Clinical Prognosis
- PulseAnchor: Personalizing PPG Foundation Models for Cuffless Blood Pressure Estimation
- Quality-Aware Wrist Photoplethysmography for Subject Independent Stress-State Monitoring: ECG-Referenced Validation and Selective Prediction
- RAE-PPG: Duration-Grounded Retain-and-Extend Pretraining for PPG Foundation Models
- Real-time comparison of ML-enabled devices for compensatory reserve (CRM vs FDA-cleared CRI)
- Real-world user interactions with large language models for explaining home electrocardiogram reports
- Reassessing the Feasibility of PPG-Based Non-Invasive Blood Glucose Level Estimation
- REFIT: Recognize, Fix, and Test Wearable Sensor Placement Shifts without Labels
- Reliability-Evidence Fusion for Selective Heart-Rate Estimation from Wearable PPG: A Transformation-Aware Cross-Cohort Study
- ReliaGate: Reliability Routing for Low-Stakes Wearable Stress Prediction
- Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks
- Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection
- Review of open foundation models and datasets for ECG and PPG waveforms
- Rotation-Invariant Multi-IMU Activity Recognition under Independent Per-Location Orientation Shifts
- Samsung Research Health Foundation Models: xMAE and HiMAE
- Scoping the Landscape of Large Language Model-based Affective Personal Informatics: Review, Reflection, Future Direction
- Sensor-Language-Action Models (OpenSLA)
- SensorFM: Toward a General Intelligence and Interface for Wearable Health Data
- Signal or Noise? Understanding Generative Models for Real-World Sensor Time Series (SensorGen)
- SimAuthor: Harnessing Foundation Models for Persistent Scientific Simulator Authoring
- Single-Beat Cuffless Blood Pressure Estimation Using Ear-PPG and ECG with a Lightweight Hybrid Learning Framework
- SleepLM: Natural-Language Intelligence for Human Sleep
- SLIP: Learning Transferable Sensor Models via Language-Informed Pretraining
- Source-Learned Reliance for Selective Test-Time Adaptation of Multimodal Time Series (CARAT)
- SpecBraM: What Should an EEG Foundation Model Predict? Masked Band-Power Prediction versus Waveform Reconstruction
- SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning
- StitchSense: Smart-Garment Sensing as a Source Domain for Watch-Based Activity Recognition
- Take it Personally: The Limits of General SSL Representations for Real-Life PPG Emotion Detection
- Teaching PPG How not Who: Fixed-Effects Distillation from ECG
- TF-MambaNet: A Temporal and Frequency Fused Bidirectional Mamba Architecture for PPG Foundation Model
- The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning
- The role of dataset integrity, calibration and signal quality in neural network-based blood pressure estimation
- TimeCap: A Scalable Open-Source Pipeline for Captioning Wearable Health Time-Series Data
- Toward World Modeling of Physiological Signals with Chaos-Theoretic Balancing and Latent Dynamics
- Towards Emotion-Aware Wearables: Distilling PPG Foundation Models for Real-Time Affective and Physiological Monitoring
- Towards fair and trustworthy heart rate estimation from wrist-worn PPG (MW-PPG-HR)
- TPF-BP: A Three-Stage Physiology-Guided Self-Supervised Transfer Learning Framework for Personalized Blood Pressure Measurement
- TRACE-TS: Attribution-Grounded and Traceable Sensor-Language Reasoning for Human Activity Understanding
- Training and Scaling Compute-Optimal Physiological Waveform Foundation Models
- TransfHAR: Self-Supervised Wrist Representations for On-Demand Activity Recognition
- Unsupervised Sensor-Based Human Activity Recognition via Contrastive Learning of Representation (SensorCLR)
- Utilizing Multi-PPG-Sensor Site Information in a Localized Wrist Area for Improving Cuffless Blood Pressure Estimation
- Variable Input Masked Autoencoders for Wrist-Worn Accelerometry (VarMAE)
- VitalAgent: A Tool-Augmented Agent for Reactive and Proactive Physiological Monitoring over Wearable Health Data
- VSMP-IMU: Video-Grounded Semantic Motion Programs for Sensor-Aware Synthetic IMU Generation
- W-JEPA: Wavelet Joint-Embedding Predictive Architecture for Wearable Activity Recognition
- WavesFM: Hierarchical Representation Learning for Longitudinal Wearable Sensor Waveforms
- Wearable AI in the Era of Large Sensor Models
- WearableQA: A Benchmark for Health Reasoning over Real-World Wearable Data
- WearICG: Towards A Wearable Approach to Continuous Stroke Volume Monitoring
- WEQA: Wearable hEalth Question Answering with Query-Adaptive Agentic Reasoning
- Wonderwall: A Virtual-to-Real Foundation Model for IMU-based HAR
- Wrist PPG Stress Classification on WESAD: Interval Features Compared with Beat-Shape and Wavelet Features
- xMAE: Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning
- μDPad: A Large-Scale Multimodal PPG and IMU Dataset for Wrist-Worn Microgesture Recognition
- A Comprehensive Review of Biosignal Foundation Models
- A Deep Sparse Capsule Network for Non-Invasive Blood Glucose Level Estimation Using a PPG Sensor
- Artificial Intelligence Applied to Electrocardiograms Recorded in Sinus Rhythm for Detection and Prediction of Atrial Fibrillation: A Scoping Review
- Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions (WBM)
- CLEF: Clinically-Guided Contrastive Learning for Electrocardiogram Foundation Models
- Cuff-less blood pressure monitoring via PPG signals using a hybrid CNN-BiLSTM deep learning model with attention mechanism
- Deep CNN-based detection of cardiac rhythm disorders using PPG signals from wearable devices
- Deep neural network algorithm using the electrocardiogram for detection of obstructive sleep apnea
- Dynamic Beat-to-Beat Measurements of Blood Pressure Using Multimodal Physiological Signals and a Hybrid CNN-LSTM Model
- GalaxyPPG — PPG dataset in semi-naturalistic settings (Scientific Data 2025)
- Generalist vs Specialist Time Series Foundation Models: Investigating Potential Emergent Behaviors in Assessing Human Health Using PPG Signals
- Generalizable deep learning for photoplethysmography-based blood pressure estimation — A benchmarking study
- GPT-PPG: a GPT-based foundation model for photoplethysmography signals
- LSM-2: Learning from Incomplete Wearable Sensor Data
- ProtoMM: Shared Prototypes for a Multimodal Pulse-Motion Foundation Model
- Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings
- SensorLM: Learning the Language of Wearable Sensors
- Text2IMU: Advancing Human Activity Recognition by Text-Driven IMU Data Synthesis
- ZARA: Training-Free Motion Time-Series Reasoning via Evidence-Grounded LLM Agents
- A Scoping Review of Deep Learning Methods for Photoplethysmography Data
- A systematic scoping review of latent class analysis applied to accelerometry-assessed physical activity and sedentary behavior
- AF triggers in week-long ECG+wrist PPG (relational strength) — Pluščiauskaitė 2024
- Artificial Intelligence–Enhanced Electrocardiography Identifies Patients With Normal Ejection Fraction at Risk of Worse Outcomes
- CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition
- CAPTURE-24: Free-Living Wrist Accelerometer Dataset
- CrossHAR: Generalizing Cross-dataset Human Activity Recognition via Hierarchical Self-Supervised Pretraining
- ECG-FM: An Open Electrocardiogram Foundation Model
- ECGFounder: An ECG Foundation Model Built on 10+ Million Recordings
- Five million nights: temporal dynamics in human sleep phenotypes
- HuBERT-ECG: A Self-Supervised Foundation Model for Broad and Scalable Cardiac Applications
- IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition
- Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network
- NormWear: Toward Foundation Model for Multivariate Wearable Sensing of Physiological Signals
- Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables
- PaPaGei: Open Foundation Models for Optical Physiological Signals
- Predicting cardiovascular disease risk using photoplethysmography and deep learning
- pyPPG: A Wearable PPG Analysis Toolbox
- RelCon: Relative Contrastive Learning for a Motion Foundation Model
- RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
- Scaling Wearable Foundation Models (LSM)
- Self-supervised learning for human activity recognition using 700,000 person-days of wearable data
- SiamQuality: A ConvNet-Based Foundation Model for Imperfect Physiological Signals
- SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals
- SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals
- SynHAR: Augmenting Human Activity Recognition With Synthetic Inertial Sensor Data Generated From Human Surface Models
- UniMTS: Unified Pre-training for Motion Time Series
- Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
- You can monitor your hydration level using your smartphone camera
- Large-scale Training of Foundation Models for Wearable Biosignals
- Multispectral sensor fusion in SmartWatch for skin hydration and body sweat loss
- PulseDB: A large, cleaned dataset based on MIMIC-III and VitalDB for benchmarking cuff-less blood pressure estimation methods
- Sleep regularity is a stronger predictor of mortality risk than sleep duration: A prospective cohort study
- An accurate wearable hydration sensor: real-world evaluation of practical use (SpectroPhon DBM)
- Artificial Intelligence-Enabled Detection and Assessment of Parkinson's Disease using Nocturnal Breathing Signals
- Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: a review from VascAgeNet
- IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and Text
- Monitoring Gait at Home with Radio Waves in Parkinson's Disease: a Marker of Severity, Progression, and Medication Response
- SimPer: Simple Self-Supervised Learning of Periodic Targets
- The 103,200-arm acceleration dataset in the UK Biobank revealed a landscape of human sleep phenotypes
- Delving into Deep Imbalanced Regression
- Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches
- Hilo (formerly Aktiia) / CSEM oBPM — cuffless wrist BP from green PPG pulse-wave analysis
- LIMU-BERT: Unleashing the Potential of Unlabeled Data for IMU Sensing Applications
- Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques
- Heart rate variability with photoplethysmography in 8 million individuals: a cross-sectional study
- Limiting racial disparities and bias for wearable devices in health science research
- Predicting personality from patterns of behavior collected with smartphones
- Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms
- Mild dehydration identification using ML on autonomic responses to cognitive stress
- Association between the Munich Chronotype Questionnaire and Wrist Actigraphy
- Association of disrupted circadian rhythmicity with mood disorders, subjective wellbeing, and cognitive function: a cross-sectional study of 91 105 participants from the UK Biobank
- Hidden Markov models for monitoring circadian rhythmicity in telemetric activity data
- Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants
- The hypoxic burden of sleep apnoea predicts cardiovascular disease-related mortality: the Osteoporotic Fractures in Men Study and the Sleep Heart Health Study
- Accelerometry-Assessed Latent Class Patterns of Physical Activity and Sedentary Behavior With Mortality
- An Overview of Heart Rate Variability Metrics and Norms
- Irregular sleep/wake patterns are associated with poorer academic performance and delayed circadian and sleep/wake timing
- Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study
- Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health
- How many steps/day are enough? For adults
- Greater cardiovascular responses to laboratory mental stress are associated with poor subsequent cardiovascular risk status: a meta-analysis of prospective evidence
- Circadian rhythm of wrist temperature in normal-living subjects. A candidate of new index of the circadian system
- Life between clocks: daily temporal patterns of human chronotypes
- Bright light therapy: improved sensitivity to its effects on rest-activity rhythms in Alzheimer patients by application of nonparametric methods
- A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms
- A Decodability-Grounded Audit of Clinical Prediction Claims in PPG Foundation Models
- A Physiology-Aware Hierarchical Foundation Model for Long-Context Waveform Representation Learning (Physio-HNet)
- BeatFlow-ECG: Rectified Flow for ECG Reconstruction from Indirect Wearable Signals
- BEATFORMER: A Delay-Aware Cardiovascular Foundation Model for Beat-Resolved ECG–PPG Representation Learning
- CardioFM: A Multimodal Foundation Model for Joint ECG and PPG Representation Learning
- Depth Beats Breadth: Scaling Wearable World Models of Human Physiology
- DPIKAN: Decomposed Physics-Informed KANs for Physiological Signal Representation Learning
- Foundation Models Defining a New Era in Human Activity Recognition: A Survey and Outlook
- IMUDINO: Self-distilled Foundation Model for Inertial Sensing
- Learning What to Trust: Reliability-Conditioned Masked Modeling for Physiological Time Series (QRAFT)
- Long-Horizon Physiological Analysis via Native Calibration of a Multimodal Waveform Foundation Model
- MSMA-PPG: Channel-Aligned Expert Routing for Selected-Wavelength PPG Prediction
- People over Segments: A Data-Axis Scaling Law for Person-Identity Contrastive PPG Pretraining
- PhysioDyT: Physiologically Directed Dynamic Transport for ECG–PPG Representation Learning
- PhysioSkeptic: Skeptical Reasoning Grounded in Signal Quality for Multimodal Rhythm Analysis
- PhysPPG: Physics-Informed Contrastive Learning for Photoplethysmography Representation
- Pulse2View: Same-Sensor Cross-View Pre-Training for Patient-Level Multi-Disease Classification from Wearable PPG
- PulseBound: Future-Beat State Forecasting Under an Explicit Information Boundary
- pulselm-ppg-text-qa-2026
- RAMP: Reliability Adaptive Masking for Pretraining Noisy Multimodal Physiological Signals
- Unlocking the Specialization Capability of PPG Foundation Models for Wearable Signals through Structured Pruning and Adaptive Fine-Tuning (SPAFT)
- wHuBERT: Layer Selection for Iterative Masked-Prediction Pre-training on Low-Resolution Wearable Biosignals
Research: Authors (604)
- Salar Abbaspourazad
- Samy Abdel-Ghaffar
- Vahid Abolghasemi
- Paolo Di Achille
- Aidan Acquah
- Marianna Adamo
- Dimitrios Adamos
- Jamie L. Adams
- Ehsan Adeli
- Timilehin B. Aderinola
- Suresh Mitu Agarwal
- Aaron Aguirre
- Hafsa Ahmed
- Karan Ahuja
- Sadeer Al-Kindi
- Ramzi Al-Sharawi
- Hibah Qasem Salman Alatawi
- Saleh Ali Albelwi
- Levi Albuquerque
- Emad Muteb Alharbi
- Khalil Alipour
- Amal Alissa
- Jawhara Bader Aljabri
- Nicholas B. Allen
- Tim Althoff
- Arya Aminorroaya
- Palanisamy Amirthalingam
- Aakarsh Anand
- Diego Ardila
- Mohammad Asadi
- Euan Ashley
- Zachi I. Attia
- Ravi S. Aysola
- Kumar Ayush
- Yuze Bai
- Konstantinos Barmpas
- David G. T. Barrett
- Sebastien Baur
- Amy Bearman
- Clemens Becker
- Jatin Bedi
- Joachim A Behar
- Babak Behsaz
- Michael Beigl
- Luca Benini
- Deepak L Bhatt
- Sivasubramanium Bhavani
- Sizhen Bian
- Silviu Borac
- Kim Branson
- Joseph Breda
- Andreas Brink-Kjaer
- Alexander Bräuer
- Jan Bukartyk
- Jan Bukartyk
- Miray Gunay Bulut
- Angus Burns
- Alessio Burrello
- Lawrence Cai
- Zhipeng Cai
- Vince Calhoun
- Andrew Campbell
- Francesco Carlucci
- Benjamin Cauchi
- Brian Caulfield
- Shing Chan
- Peter H Charlton
- Peter H. Charlton
- Narmatha Chellamani
- Baiyu Chen
- Chen Chen
- Christina Chen
- Mengjia Chen
- Ting Chen
- Ying-Cong Chen
- Yue Chen
- Yuliang Chen
- Zhaoliang Chen
- Lorenzo Chiari
- Myeong-Ju Cho
- Tilendra Choudhary
- Ranak Roy Chowdhury
- Kiet Chu
- Xuesen Chu
- Keum San Chun
- Gari Clifford
- David A. Clifton
- David A. Clifton
- Lei Clifton
- Andreas Coppi
- Edoardo Coppola
- Loïc Coquelin
- Greg S. Corrado
- Naima Covassin
- Andrew P. Creagh
- Daniel Crepeau
- Jinshi Cui
- Ilaria D'Ascanio
- Scott Daly
- Babak Damavandi
- Goodarz Danaei
- Ting Dang
- Daniel P. Darcy
- Gregory Darnell
- Mayank Daswani
- John Davis
- Juan Delgado-SanMartin
- Sharanya Arcot Desai
- Kindeep K. Dhatt
- Lovedeep S Dhingra
- Marcus Dige
- Dejan Dinevski
- Cheng Ding
- Yi Ding
- Zhengyao Ding
- Alireza Dirafzoon
- Aiden Doherty
- E. Ray Dorsey
- Ray Dorsey
- Yayun Du
- Yixuan Duan
- Emmanuel H. During
- Edgar Eggert
- Oussama Elachqar
- Terry D. Ellis
- Saba Emrani
- Max Enderlein
- Eray Erturk
- Zeinab Esmaeilpour
- Annette Esper
- Sibylle Fallet
- Xiaocheng Fang
- Anthony Z. Faranesh
- Richard Fineman
- Darren Forde
- Nicholas J Foti
- Nouhaila Fraihi
- Octavian Fratu
- Paul A. Friedman
- Cong Fu
- Joseph Futoma
- Isaac Galatzer-Levy
- Jianhuang Gan
- Gauri Ganjoo
- Guosong Gao
- Hongxiang Gao
- Jake Garrison
- Eloy Geenjaar
- Shijia Geng
- Alasdair Gent
- Jonathan Gershuny
- Mohammad Ghamari
- Mounir Ghogho
- Ulysse Gimenez
- Márton Á Goda
- Shreyank N. Gowda
- Ken Gu
- Sai Gu
- Xiao Gu
- Yu Guan
- Marius Guerard
- Xueying Gui
- Robin Guillard
- Bin Guo
- Zhicheng Guo
- Rajesh K. Gupta
- Milana Gurbanova
- Migyeong Gwak
- Haraldur Hallgrimsson
- Simona Halunga
- Mohamed Hammad
- Jinpei Han
- Yuan Hang
- Umaer Hanif
- Lauren Harrell
- Md Hassanuzzaman
- Bryan He
- Tian He
- Nando Hegemann
- Conor Heneghan
- Elisabeth Roxane M. Heremans
- John Hernandez
- Jussi Hernesniemi
- A. Ali Heydari
- Dezhi Hong
- Shenda Hong
- Zhiqing Hong
- Rumen Hristov
- Jun Hu
- Xiao Hu
- Yujian Hu
- Hanbang Hua
- Zhengxing Huang
- Eugene Hwang
- Georgiana Ifrim
- Mohit Iyyer
- Mariam Jabara
- Nicholas C. Jacobson
- Poul Jennum
- Stella Jensen-Roberts
- Hyewon Jeong
- Sean Jewell
- Hong Jia
- Sarah Jiang
- SouYoung Jin
- Anders Johnson
- Mihir Joshi
- Mithri R. Junna
- Sujay Kakarmath
- Rishikesan Kamaleswaran
- Fahad Kamran
- Ouassim Karrakchou
- Dina Katabi
- Fahim Kawsar
- Rohan Khera
- Akshay Khunte
- Karl Kieburtz
- Kevin L. Kilgore
- Daniel Seung Kim
- Yubin Kim
- Sophia Claire Kivelson
- Magnus Ruud Kjaer
- Magnus Ruud Kjær
- Jochen Klenk
- Pushmeet Kohli
- Alexandros Koliousis
- Vassilis Kostakos
- Vijay Krishnamoorthy
- Harlan M Krumholz
- Zhuodiao Kuang
- Rajesh Kumar
- Santosh Kumar
- Tanmay Kumar
- Gouthaman KV
- Michael Küttner
- Patrick Langer
- Nikolaos Laskaris
- Omar S. Latif
- Allan Lawrie
- Eunjung Lee
- Juhyeon Lee
- Na Lee
- Randall J Lee
- Seo-Hyun Lee
- Seong-Whan Lee
- Simon A. Lee
- Simon A. Lee
- Sunghoon I. Lee
- William Theodor Lehn-Schioler
- Chenzhong Li
- Haitao Li
- Hongyan Li
- Jianqing Li
- Jun Li
- Mo Li
- Qian Li
- Shuheng Li
- Sirui Li
- Tianhong Li
- Xiangjie Li
- Xiaoyu Li
- Yelei Li
- Yujie Li
- Yuwen Li
- Zechen Li
- Zelong Li
- Zhikang Li
- Ziyu Li
- Shun Liao
- Grace Lin
- Zhaojiang Lin
- Markus Lingman
- Melissa C. Lipford
- Bo Liu
- Che Liu
- Chengyu Liu
- Fenglin Liu
- Kai-Chun Liu
- Kan Liu
- Mengxi Liu
- Xin Liu
- Xin Liu
- Yingcheng Liu
- Yun Liu
- Zhangdaihong Liu
- Ziyi Liu
- Karlo J. Lizarraga
- Francisco Lopez-Jimenez
- Niels R. Lorenzen
- Erik K. St. Louis
- Junshi Lu
- Lie Lu
- Paul Lukowicz
- Yunfei Luo
- Wenjun Lyu
- Dong Ma
- Xiao Ma
- Enrico Macii
- Andrea Madotto
- Mohammad Malekzadeh
- Mark Malhotra
- Wanting Mao
- Yiheng Mao
- Vaidotas Marozas
- Vaidotas Marozas
- Cecilia Mascolo
- Sameer Masood
- Mauro Massussi
- Yossi Matias
- Daniel McDuff
- Jed McGiffin
- Kaden McKeen
- Cory Y. McLean
- Marco Metra
- Ahmed A. Metwally
- Emmanuel Mignot
- Andrew C. Miller
- Anshuman Mishra
- Trisha Mittal
- Hanieh Mohammadi
- Pedram Mohseni
- Jaden Moon
- Seungwhan Moon
- Hyatt Moore
- Mehrab Bin Morshed
- Bobak J Mortazavi
- Naser Hossein Motlagh
- Mohammad Moulaeifard
- Junior Moura
- Amir Mousavi
- Eideen Mozaffari
- Ziga Mrak
- Ahmed S. Mubark
- Sendhil Mullainathan
- Taylor L. Myers
- Girish N Nadkarni
- Laleh Najafizadeh
- Franjo Husam Naji
- Udhyakumar Nallasamy
- Jaya Narain
- Shrikanth Narayanan
- Girish Narayanswamy
- Jwan A. Naser
- Keerthana Natarajan
- Viswam Nathan
- Leslie Neely
- Favour Nerrise
- Markus Neufeld
- Sameer Neupane
- Guangkun Nie
- Ahmed M. Nor
- Timothy Nordahl
- Peter A. Noseworthy
- Erfan Nourbakhsh
- Dominique Nshimyimana
- Ziad Obermeyer
- Jae K. Oh
- Jenny Y. Oh
- Evangelos K Oikonomou
- Osama A. Omer
- Daniele Jahier Pagliari
- Hamid Palangi
- Luca Palmerini
- Lianggang Pan
- Weichao Pan
- Zhou Pan
- Yannis Panagakis
- Akshay Paruchuri
- Shwetak Patel
- Anupam Pathak
- Anand Paul
- Meghan E. Pawlik
- Abdolrahman Peimankar
- Patricia A. Pellikka
- Andrius Petrėnas
- Oskar Pfeffer
- Hung Manh Pham
- Atitaya Phoemsuk
- Arvind Pillai
- Arvind Pillai
- Sorin V. Pislaru
- Thomas Plötz
- Mihai V Podgoreanu
- Ming-Zher Poh
- Giovanni Pollo
- Erietta Polychronopoulou
- Massimo Poncino
- Kousalya Prabahar
- Shruthi Prabhakara
- Javier L. Prieto
- Sadasivan Puthusserypady
- Paweł Pławiak
- Siyuan Qiao
- Wei Qiu
- John Quarles
- Karthik J. Raghuram
- Md Mahbubur Rahman
- Tauhidur Rahman
- Supraja Ramesh
- Sparsh Rastogi
- Lala Shakti Swarup Ray
- James M. Rehg
- Shirley Ren
- Vitor Fortes Rey
- Naghmeh Rezaei
- Antonio H. Ribeiro
- Antonio Luiz P. Ribeiro
- Mantas Rinkevičius
- Elijah Rockers
- Jameson K. Rogers
- Max Rosenblattl
- James Ross
- Franklin Y. Ruan
- Barry Rubin
- Cynthia Rudin
- Tobias Röddiger
- Aaqib Saeed
- Mithun Saha
- Asif Salekin
- Flora D. Salim
- Ahmed Sameh
- Veer Sangha
- Veer Sangha
- Sriram Sankararaman
- Aparajita Saraf
- David B. Savage
- Mattia Savardi
- Paul Schmiedmayer
- Ruth B. Schneider
- Abram Schonfeldt
- Alexander Schubert
- Narayan Schuetz
- Patrick Schwab
- Christopher G. Scott
- Hamza Shafiq
- Jingbo Shang
- Sumukh Vasisht Shankar
- Manimurugan Shanmuganathan
- Ian Shapiro
- Kateryna Shapovalenko
- Harsh Sharma
- Guobin Shen
- Shravya Shetty
- Hye-Bin Shin
- Yuxuan Shu
- Zitao Shuai
- Alberto Signoroni
- Mohammad Sadegh Sirjani
- Rocky Slavin
- Josep Sola
- Abdelrhman Y. Soliman
- Samuel Solomon
- Alexandru Solot
- Andrius Sološenko
- Virend K. Somers
- Julia M. Soto
- Dimitris Spathis
- Dimitris Spathis
- Adrien Specht
- Cathy Speed
- Nils Strodthoff
- Nils Strodthoff
- Hao-Wei Su
- Chenxi Sun
- Christopher Sun
- Lindsey Sunden
- Justin Sung
- Jacob Sunshine
- Jake Sunshine
- Shyam A. Tailor
- Amirhossein Taleshinosrati
- Rui Tan
- Cyrus Tanade
- Gongzheng Tang
- Shuailong Tang
- Wei Tang
- Prithviraj Tarale
- Christopher G. Tarolli
- Bahram Tarvirdizadeh
- James A. Taylor
- Eric S. Teasley
- Daniel Teichmann
- Diyan Teng
- Rahul Thapa
- Megha Thukral
- Paul C. Timm
- Augustin Toma
- Catherine Tong
- Chunlong Tu
- Sencer Unal
- Akhil Vaid
- Kara Vaillancourt
- Yogatheesan Varatharajah
- Abhishek Varghese
- Enikö Vargova
- Subramaniam Venkatraman
- Aleksandar Videnovic
- Sara Vinco
- Anna Vybornova
- Emma M. Waddell
- Bo Wang
- Dennis Wang
- Hao Wang
- Haoling Wang
- Haotian Wang
- Jiawei Wang
- Jing Wang
- Jonathan Wang
- Li Wang
- Longbo Wang
- Wei Wang
- Weinan Wang
- Xiaying Wang
- Xingyao Wang
- Yangyang Wang
- Yi Wang
- Yifan Wang
- Wei-Hung Weng
- Brandon Westover
- Sinead Williamson
- Nolan Wilson
- Renee M. Wilson
- Ari Winbush
- Brent Winslow
- Bo Wu
- Fei Wu
- Jiang Wu
- Jinyang Wu
- Tengyue Wu
- Wenlong Wu
- Yu Wu
- Yu Yvonne Wu
- Yuntian Wu
- Zhenghuang Wu
- Gregoire Wuerzner
- Arlene Wurzner-Ghajarzadeh
- Shuhan Xiao
- Yujie Xiao
- Donglin Xie
- Mimi Xie
- Qi Xie
- Chenyang Xu
- Feng Xu
- He-yang Xu
- Huatao Xu
- Maxwell A. Xu
- Maxwell A. Xu
- Shawn Xu
- Songlin Xu
- Xuhai "Orson" Xu
- Yixin Xu
- Youyao Xu
- Yuekai Xu
- Zongzhe Xu
- Chenxi Yang
- David Yang
- Philip Yang
- Yizhang Yang
- Yujie Yang
- Yuzhe Yang
- Benjamin Yetton
- Hong Yu
- Huan Yu
- Zhiwen Yu
- Jing Yuan
- Siyu Yuan
- Yuan Yuan
- Stefanos Zafeiriou
- Kaiwen Zha
- Jiening Zhan
- Aiwei Zhang
- Desheng Zhang
- Deyun Zhang
- Guo Zhang
- Harrison G. Zhang
- Hongkun Zhang
- Kelly W. Zhang
- Weizhi Zhang
- Xiyuan Zhang
- Yang Zhang
- Yiming Zhang
- Yuwei Zhang
- Zhihan Zhang
- Chengchen Zhao
- Minghui Zhao
- Qinghao Zhao
- Wei Zhao
- Shuntian Zheng
- Lanhai Zhong
- Shuxin Zhong
- Bo Zhou
- Hao Zhou
- Menglian Zhou
- Pan Zhou
- Pengfei Zhou
- Ya Zhou
- Bin Zhu
- Di Zhu
- Jiabao Zhu
- Li Zhu
- Yutian Zhu
- Yuyao Zhu
- Chuntung Zhuang
- James Zou
Research: Devices (69)
- ActiGraph GT3X+
- ActiGraph Leap
- Analog Devices MAX86177A spatial-PPG wrist prototype (μDPad custom)
- Apple Watch
- Apple Watch Series 6
- Apple Watch Series 7
- Arduino Nano 33 BLE Sense (wrist-worn)
- Axivity AX3
- BIOPAC MP160 data acquisition system
- Biostrap
- Bittium Faros
- COSMED K5 portable metabolic system
- Dreem 2 EEG headband
- Embletta MPR (Natus)
- EmotiBit
- Empatica E4
- Empatica EmbracePlus
- Equivital EQ02 LifeMonitor
- ESP32-S3 wristband + QMI8658A 6-axis IMU (SensHAR)
- Finapres continuous NIBP (model not stated)
- Fitbit Charge 6
- Fitbit Sense
- Garmin Forerunner 245
- Garmin smartwatch
- Garmin Vivosmart 4
- GENEActiv
- Healer R2 / R3
- HUAWEI Watch GT Runner
- LG G Watch R
- Maxim MAX30101 (Aurora-BP optical unit)
- Maxim MAX86141 wearable (WildPPG custom)
- Maxim MAX86150
- Maxim MAXM86161 fingertip
- Maxim MAXREFDES100
- Maxim MAXREFDES103
- Mind Media NeXus-32
- Mindray iMec15
- Movella Xsens DOT IMU
- Movesense
- Movisens EcgMove4
- Muse 2
- Muse S EEG headband
- Ninenovo smart ring (MAIBO study hardware)
- OMG Life Autographer
- Omron Complete (upper-arm BP monitor)
- Oura Ring
- Oura Ring Gen2
- Philips IntelliVue MP40
- PixArt PAG-2016BA wrist watch
- Polar H10
- Polar H7
- Polar Vantage V
- Polar Verity Sense
- RespiBAN chest band
- Samsung Galaxy S4 (smartphone)
- Samsung Galaxy Watch / Gear Sport
- Samsung Galaxy Watch 4
- Samsung Galaxy Watch 5
- Samsung Galaxy Watch Active 2
- ScientISST
- Shimmer ECG Unit
- Shimmer2
- Shimmer3 GSR+
- Somfit
- Sony WF-1000XM3 earbuds (modified for in-ear cardiac audio)
- Thinklabs One digital stethoscope
- Vibeat Oxylink (wireless finger pulse oximeter)
- WHOOP 3.0
- Zephyr BioHarness
Research: Topic Pages (12)
- Best PPG datasets for blood pressure estimation
- Wrist PPG datasets with raw waveforms
- PPG foundation models compared
- Open-weight PPG models you can download
- PPG datasets for atrial fibrillation detection
- PPG heart rate datasets with motion and accelerometer data
- PPG datasets for stress and mental workload
- Wearable PPG datasets for sleep staging
- PPG and pulse oximetry datasets for SpO2 and skin tone bias
- Best datasets for PPG foundation model pretraining
- Best PPG and wearable datasets for glucose estimation
- Best wearable datasets for human activity recognition