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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

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Showing 76–100 of 148 papers

TitleStatusHype
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
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