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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
MDEAW: A Multimodal Dataset for Emotion Analysis through EDA and PPG signals from wireless wearable low-cost off-the-shelf Devices—0
Motion Artifact Reduction In Photoplethysmography For Reliable Signal Selection—0
Multi-Head Cross-Attentional PPG and Motion Signal Fusion for Heart Rate Estimation—0
Multimodal Biometric Authentication Using Camera-Based PPG and Fingerprint Fusion—0
Multimodal Emotion Recognition by Fusing Video Semantic in MOOC Learning Scenarios—0
Non-Contact Acquisition of PPG Signal using Chest Movement-Modulated Radio Signals—0
Non-contact Atrial Fibrillation Detection from Face Videos by Learning Systolic Peaks—0
Non-Contact NIR PPG Sensing through Large Sequence Signal Regression—0
Non-contact transmittance photoplethysmographic imaging (PPGI) for long-distance cardiovascular monitoring—0
Optimised Convolutional Neural Networks for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications—0
Optimizing Photoplethysmography-Based Sleep Staging Models by Leveraging Temporal Context for Wearable Devices Applications—0
Performer: A Novel PPG-to-ECG Reconstruction Transformer for a Digital Biomarker of Cardiovascular Disease Detection—0
Personalised and Adjustable Interval Type-2 Fuzzy-Based PPG Quality Assessment for the Edge—0
Personalized Anomaly Detection in PPG Data using Representation Learning and Biometric Identification—0
Personalized PPG Normalization based on Subject Heartbeat in Resting State Condition—0
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings—0
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
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