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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 126–148 of 148 papers

TitleStatusHype
Bootstrapping Vision-language Models for Self-supervised Remote Physiological Measurement—0
Camera PPG waveforms at the forehead—0
Can gamification reduce the burden of self-reporting in mHealth applications? A feasibility study using machine learning from smartwatch data to estimate cognitive load—0
Car-Driver Drowsiness Assessment through 1D Temporal Convolutional Networks—0
CAST-Phys: Contactless Affective States Through Physiological signals Database—0
Classification of Perceived Human Stress using Physiological Signals—0
Computationally efficient heart rate estimation during physical exercise using photoplethysmographic signals—0
Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure—0
Contactless pulse rate assessment: Results and insights for application in driving simulator—0
Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model—0
Covfefe: A Computer Vision Approach For Estimating Force Exertion—0
Cuff-less Arterial Blood Pressure Waveform Synthesis from Single-site PPG using Transformer & Frequency-domain Learning—0
Deep Learning Classification of Photoplethysmogram Signal for Hypertension Levels—0
Deep Learning Systems for Advanced Driving Assistance—0
Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks—0
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms—0
Detecting Cognitive Impairment and Psychological Well-being among Older Adults Using Facial, Acoustic, Linguistic, and Cardiovascular Patterns Derived from Remote Conversations—0
Efficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning—0
Efficient Real-Time Camera Based Estimation of Heart Rate and Its Variability—0
Efficient Remote Photoplethysmography with Temporal Derivative Modules and Time-Shift Invariant Loss—0
Embedding Temporal Convolutional Networks for Energy-Efficient PPG-Based Heart Rate Monitoring—0
EnhancePPG: Improving PPG-based Heart Rate Estimation with Self-Supervision and Augmentation—0
Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach—0
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