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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
User Authentication and Vital Signs Extraction from Low-Frame-Rate and Monochrome No-contact Fingerprint Captures—0
Multimodal Biometric Authentication Using Camera-Based PPG and Fingerprint Fusion—0
PaPaGei: Open Foundation Models for Optical Physiological SignalsCode2
SympCam: Remote Optical Measurement of Sympathetic Arousal—0
Stress Assessment with Convolutional Neural Network Using PPG Signals—0
RespDiff: An End-to-End Multi-scale RNN Diffusion Model for Respiratory Waveform Estimation from PPG SignalsCode0
Optimizing Photoplethysmography-Based Sleep Staging Models by Leveraging Temporal Context for Wearable Devices Applications—0
Stress Detection from Photoplethysmography in a Virtual Reality EnvironmentCode0
INN-PAR: Invertible Neural Network for PPG to ABP ReconstructionCode0
Flexible framework for generating synthetic electrocardiograms and photoplethysmogramsCode0
SepAl: Sepsis Alerts On Low Power Wearables With Digital Biomarkers and On-Device Tiny Machine LearningCode0
Interpretable Pre-Trained Transformers for Heart Time-Series DataCode2
Bootstrapping Vision-language Models for Self-supervised Remote Physiological Measurement—0
Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach—0
Using Photoplethysmography to Detect Real-time Blood Pressure Changes with a Calibration-free Deep Learning Model—0
Deep Imbalanced Regression to Estimate Vascular Age from PPG Data: a Novel Digital Biomarker for Cardiovascular HealthCode0
Deep Learning Classification of Photoplethysmogram Signal for Hypertension Levels—0
Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models—0
Fingertip Video Dataset for Non-Invasive Diagnosis of Anemia Using ResNet-18 ClassifierCode0
KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a SmartwatchCode1
SiamQuality: A ConvNet-Based Foundation Model for Imperfect Physiological SignalsCode1
SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG SignalsCode1
TransfoRhythm: A Transformer Architecture Conductive to Blood Pressure Estimation via Solo PPG Signal Capturing—0
Multimodal Emotion Recognition by Fusing Video Semantic in MOOC Learning Scenarios—0
Exploring the limitations of blood pressure estimation using the photoplethysmography signal—0
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