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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 51–75 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
You can monitor your hydration level using your smartphone camera—0
A Deep Learning Approach to Predict Blood Pressure from PPG Signals—0
Greedy-optimized Approach for Interbeat Interval and Heart Rate Variability Daily Monitoring using Wearable PPG—0
A low-cost PPG sensor-based empirical study on healthy aging based on changes in PPG morphology—0
A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals—0
Am I fit for this physical activity? Neural embedding of physical conditioning from inertial sensors—0
Amplitude-Independent Machine Learning for PPG through Visibility Graphs and Transfer Learning—0
A Multimodal Perceived Stress Classification Framework using Wearable Physiological Sensors—0
An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN—0
Analysis of CNN-based remote-PPG to understand limitations and sensitivities—0
An Effective Entropy-assisted Mind-wandering Detection System with EEG Signals based on MM-SART Database—0
An Embedded Auto-Calibrated Offset Current Compensation Technique for PPG/fNIRS System—0
An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks—0
A Novel 1D Generative Adversarial Network-based Framework for Atrial Fibrillation Detection using Restored Wrist Photoplethysmography Signals—0
A Novel Time-Varying Spectral Filtering Algorithm for Reconstruction of Motion Artifact Corrupted Heart Rate Signals During Intense Physical Activities Using a Wearable Photoplethysmogram Sensor—0
A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation from Wearables—0
A Sparse Sampling Sensor Front-end IC for Low Power Continuous SpO_2 \& HR Monitoring—0
Blood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network—0
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