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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 76–100 of 148 papers

TitleStatusHype
Video-based sympathetic arousal assessment via peripheral blood flow estimation—0
Remote Heart Rate Monitoring in Smart Environments from Videos with Self-supervised Pre-training—0
Photoplethysmography based atrial fibrillation detection: an updated review from July 2019—0
PPG-to-ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling—0
Personalised and Adjustable Interval Type-2 Fuzzy-Based PPG Quality Assessment for the Edge—0
PhysioZoo: The Open Digital Physiological Biomarkers Resource—0
A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals—0
Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features—0
Car-Driver Drowsiness Assessment through 1D Temporal Convolutional Networks—0
Visual Saliency Detection in Advanced Driver Assistance Systems—0
Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG SignalCode0
Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices—0
An Embedded Auto-Calibrated Offset Current Compensation Technique for PPG/fNIRS System—0
Personalized Anomaly Detection in PPG Data using Representation Learning and Biometric Identification—0
A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation from Wearables—0
ApSense: Data-driven Algorithm in PPG-based Sleep Apnea SensingCode0
Camera PPG waveforms at the forehead—0
Amplitude-Independent Machine Learning for PPG through Visibility Graphs and Transfer Learning—0
Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning—0
PPG Signals for Hypertension Diagnosis: A Novel Method using Deep Learning Models—0
Deep Learning Systems for Advanced Driving Assistance—0
Efficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning—0
PPG-based Heart Rate Estimation with Efficient Sensor Sampling and Learning Models—0
HDformer: A Higher Dimensional Transformer for Diabetes Detection Utilizing Long Range Vascular Signals—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
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