SOTAVerified

Photoplethysmography (PPG)

Photoplethysmography (PPG) is a non-invasive light-based method that has been used since the 1930s for monitoring cardiovascular activity.

Source: Non-contact transmittance photoplethysmographic imaging (PPGI) for long-distance cardiovascular monitoring

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 148 papers

TitleStatusHype
Hiding Your Signals: A Security Analysis of PPG-based Biometric Authentication—0
Improvements in Remote Cardiopulmonary Measurement Using a Five Band Digital Camera—0
Instant Automated Inference of Perceived Mental Stress through Smartphone PPG and Thermal Imaging—0
Joint Attention Mechanism Learning to Facilitate Opto-physiological Monitoring during Physical Activity—0
Large-scale Training of Foundation Models for Wearable Biosignals—0
LSTM knowledge transfer for HRV-based sleep staging—0
Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features—0
Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers—0
Mamba-based Deep Learning Approaches for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography—0
MDEAW: A Multimodal Dataset for Emotion Analysis through EDA and PPG signals from wireless wearable low-cost off-the-shelf Devices—0
Motion Artifact Reduction In Photoplethysmography For Reliable Signal Selection—0
Multi-Head Cross-Attentional PPG and Motion Signal Fusion for Heart Rate Estimation—0
Multimodal Biometric Authentication Using Camera-Based PPG and Fingerprint Fusion—0
Multimodal Emotion Recognition by Fusing Video Semantic in MOOC Learning Scenarios—0
Non-Contact Acquisition of PPG Signal using Chest Movement-Modulated Radio Signals—0
Non-contact Atrial Fibrillation Detection from Face Videos by Learning Systolic Peaks—0
Non-Contact NIR PPG Sensing through Large Sequence Signal Regression—0
Non-contact transmittance photoplethysmographic imaging (PPGI) for long-distance cardiovascular monitoring—0
Optimised Convolutional Neural Networks for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications—0
Optimizing Photoplethysmography-Based Sleep Staging Models by Leveraging Temporal Context for Wearable Devices Applications—0
Performer: A Novel PPG-to-ECG Reconstruction Transformer for a Digital Biomarker of Cardiovascular Disease Detection—0
Personalised and Adjustable Interval Type-2 Fuzzy-Based PPG Quality Assessment for the Edge—0
Personalized Anomaly Detection in PPG Data using Representation Learning and Biometric Identification—0
Personalized PPG Normalization based on Subject Heartbeat in Resting State Condition—0
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings—0
Photoplethysmography based atrial fibrillation detection: an updated review from July 2019—0
PhysioZoo: The Open Digital Physiological Biomarkers Resource—0
PPG-based Heart Rate Estimation with Efficient Sensor Sampling and Learning Models—0
PPG Signals for Hypertension Diagnosis: A Novel Method using Deep Learning Models—0
PPG-to-ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling—0
Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning—0
PsyCounAssist: A Full-Cycle AI-Powered Psychological Counseling Assistant System—0
Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings—0
Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact—0
Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices—0
Rapid Extraction of Respiratory Waveforms from Photoplethysmography: A Deep Encoder Approach—0
Real-Time Monitoring of User Stress, Heart Rate and Heart Rate Variability on Mobile Devices—0
Recognising Cardiac Abnormalities in Wearable Device Photoplethysmography (PPG) with Deep Learning—0
Remote Heart Rate Monitoring in Smart Environments from Videos with Self-supervised Pre-training—0
RRWaveNet: A Compact End-to-End Multi-Scale Residual CNN for Robust PPG Respiratory Rate Estimation—0
Signal Quality Assessment of Photoplethysmogram Signals using Quantum Pattern Recognition and lightweight CNN Architecture—0
SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography—0
Stress Assessment with Convolutional Neural Network Using PPG Signals—0
SympCam: Remote Optical Measurement of Sympathetic Arousal—0
TAU: Modeling Temporal Consistency Through Temporal Attentive U-Net for PPG Peak Detection—0
TNANet: A Temporal-Noise-Aware Neural Network for Suicidal Ideation Prediction with Noisy Physiological Data—0
TransfoRhythm: A Transformer Architecture Conductive to Blood Pressure Estimation via Solo PPG Signal Capturing—0
Tri-Spectral PPG: Robust Reflective Photoplethysmography by Fusing Multiple Wavelengths for Cardiac Monitoring—0
Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models—0
Unexpected sawtooth artifact in beat-to-beat pulse transit time measured from patient monitor data—0
Show:102550
← PrevPage 2 of 3Next →

No leaderboard results yet.