SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–148 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
Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices—0
Rapid Extraction of Respiratory Waveforms from Photoplethysmography: A Deep Encoder Approach—0
Real-Time Monitoring of User Stress, Heart Rate and Heart Rate Variability on Mobile Devices—0
Recognising Cardiac Abnormalities in Wearable Device Photoplethysmography (PPG) with Deep Learning—0
Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approachesCode0
Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time SeriesCode0
Log-Spectral Matching GAN: PPG-based Atrial Fibrillation Detection can be Enhanced by GAN-based Data Augmentation with Integration of Spectral LossCode0
Artificial Intelligence-derived Vascular Age from Photoplethysmography: A Novel Digital Biomarker for Cardiovascular HealthCode0
Modeling arterial pulse waves in healthy aging: a database for in silico evaluation of hemodynamics and pulse wave indexesCode0
Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG SignalCode0
Long-term Blood Pressure Prediction with Deep Recurrent Neural NetworksCode0
SRMAC -- Smoothed Recursive Moving Average Crossover for Real-Time Systolic Peak Detection in PhotoplethysmographyCode0
Flexible framework for generating synthetic electrocardiograms and photoplethysmogramsCode0
ApSense: Data-driven Algorithm in PPG-based Sleep Apnea SensingCode0
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
Stress Detection from Photoplethysmography in a Virtual Reality EnvironmentCode0
SepAl: Sepsis Alerts On Low Power Wearables With Digital Biomarkers and On-Device Tiny Machine LearningCode0
Online Heart Rate Prediction using Acceleration from a Wrist Worn WearableCode0
Fingertip Video Dataset for Non-Invasive Diagnosis of Anemia Using ResNet-18 ClassifierCode0
Deep Imbalanced Regression to Estimate Vascular Age from PPG Data: a Novel Digital Biomarker for Cardiovascular HealthCode0
INN-PAR: Invertible Neural Network for PPG to ABP ReconstructionCode0
HeartBEAT: Heart Beat Estimation through Adaptive TrackingCode0
Show:102550
← PrevPage 3 of 3Next →

No leaderboard results yet.