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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 101–125 of 148 papers

TitleStatusHype
A Sparse Sampling Sensor Front-end IC for Low Power Continuous SpO_2 \& HR Monitoring—0
MDEAW: A Multimodal Dataset for Emotion Analysis through EDA and PPG signals from wireless wearable low-cost off-the-shelf Devices—0
Hiding Your Signals: A Security Analysis of PPG-based Biometric Authentication—0
A Multimodal Perceived Stress Classification Framework using Wearable Physiological Sensors—0
Performer: A Novel PPG-to-ECG Reconstruction Transformer for a Digital Biomarker of Cardiovascular Disease Detection—0
pyVHR: a Python framework for remote photoplethysmographyCode2
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable DevicesCode1
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
Personalized PPG Normalization based on Subject Heartbeat in Resting State Condition—0
SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography—0
Face2PPG: An unsupervised pipeline for blood volume pulse extraction from faces—0
Signal Quality Assessment of Photoplethysmogram Signals using Quantum Pattern Recognition and lightweight CNN Architecture—0
Exposing Deepfake with Pixel-wise AR and PPG Correlation from Faint Signals—0
Non-contact Atrial Fibrillation Detection from Face Videos by Learning Systolic Peaks—0
Motion Artifact Reduction In Photoplethysmography For Reliable Signal Selection—0
Log-Spectral Matching GAN: PPG-based Atrial Fibrillation Detection can be Enhanced by GAN-based Data Augmentation with Integration of Spectral LossCode0
Feature Augmented Hybrid CNN for Stress Recognition Using Wrist-based Photoplethysmography Sensor—0
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings—0
A Deep Learning Approach to Predict Blood Pressure from PPG Signals—0
An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN—0
An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks—0
Am I fit for this physical activity? Neural embedding of physical conditioning from inertial sensors—0
An Open Framework for Remote-PPG Methods and their AssessmentCode1
BayesBeat: Reliable Atrial Fibrillation Detection from Noisy Photoplethysmography DataCode1
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