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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
RespDiff: An End-to-End Multi-scale RNN Diffusion Model for Respiratory Waveform Estimation from PPG SignalsCode0
Robust Heart Rate Detection via Multi-Site PhotoplethysmographyCode0
Online Heart Rate Prediction using Acceleration from a Wrist Worn WearableCode0
Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approachesCode0
Modeling arterial pulse waves in healthy aging: a database for in silico evaluation of hemodynamics and pulse wave indexesCode0
SepAl: Sepsis Alerts On Low Power Wearables With Digital Biomarkers and On-Device Tiny Machine LearningCode0
Deep Imbalanced Regression to Estimate Vascular Age from PPG Data: a Novel Digital Biomarker for Cardiovascular HealthCode0
ApSense: Data-driven Algorithm in PPG-based Sleep Apnea SensingCode0
Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG SignalCode0
HeartBEAT: Heart Beat Estimation through Adaptive TrackingCode0
Flexible framework for generating synthetic electrocardiograms and photoplethysmogramsCode0
Fingertip Video Dataset for Non-Invasive Diagnosis of Anemia Using ResNet-18 ClassifierCode0
Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time SeriesCode0
INN-PAR: Invertible Neural Network for PPG to ABP ReconstructionCode0
Long-term Blood Pressure Prediction with Deep Recurrent Neural NetworksCode0
Artificial Intelligence-derived Vascular Age from Photoplethysmography: A Novel Digital Biomarker for Cardiovascular HealthCode0
Classification of Perceived Human Stress using Physiological Signals—0
CAST-Phys: Contactless Affective States Through Physiological signals Database—0
Car-Driver Drowsiness Assessment through 1D Temporal Convolutional Networks—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
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
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
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