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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 26–50 of 148 papers

TitleStatusHype
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
Camera PPG waveforms at the forehead—0
An Embedded Auto-Calibrated Offset Current Compensation Technique for PPG/fNIRS System—0
Bootstrapping Vision-language Models for Self-supervised Remote Physiological Measurement—0
Blood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network—0
An Effective Entropy-assisted Mind-wandering Detection System with EEG Signals based on MM-SART Database—0
A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals—0
Greedy-optimized Approach for Interbeat Interval and Heart Rate Variability Daily Monitoring using Wearable PPG—0
Efficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning—0
A Sparse Sampling Sensor Front-end IC for Low Power Continuous SpO_2 \& HR Monitoring—0
Analysis of CNN-based remote-PPG to understand limitations and sensitivities—0
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms—0
Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks—0
A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation from Wearables—0
Deep Learning Systems for Advanced Driving Assistance—0
Detecting Cognitive Impairment and Psychological Well-being among Older Adults Using Facial, Acoustic, Linguistic, and Cardiovascular Patterns Derived from Remote Conversations—0
Deep Learning Classification of Photoplethysmogram Signal for Hypertension Levels—0
An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN—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
Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks—0
Cuff-less Arterial Blood Pressure Waveform Synthesis from Single-site PPG using Transformer & Frequency-domain Learning—0
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