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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 1–50 of 148 papers

TitleStatusHype
CAST-Phys: Contactless Affective States Through Physiological signals Database—0
Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks—0
Domain Knowledge Integrated CNN-xLSTM-xAtt Network with Multi Stream Feature Fusion for Cuffless Blood Pressure Estimation from Photoplethysmography SignalsCode1
Contactless pulse rate assessment: Results and insights for application in driving simulator—0
Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time SeriesCode0
PsyCounAssist: A Full-Cycle AI-Powered Psychological Counseling Assistant System—0
Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact—0
Exploring Reliable PPG Authentication on Smartwatches in Daily Scenarios—0
TAU: Modeling Temporal Consistency Through Temporal Attentive U-Net for PPG Peak Detection—0
GPT-PPG: A GPT-based Foundation Model for Photoplethysmography Signals—0
Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers—0
Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approachesCode0
Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking StudyCode1
Artificial Intelligence-derived Vascular Age from Photoplethysmography: A Novel Digital Biomarker for Cardiovascular HealthCode0
Joint Attention Mechanism Learning to Facilitate Opto-physiological Monitoring during Physical Activity—0
Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model—0
Finetuning and Quantization of EEG-Based Foundational BioSignal Models on ECG and PPG Data for Blood Pressure Estimation—0
Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings—0
Robust Heart Rate Detection via Multi-Site PhotoplethysmographyCode0
Tri-Spectral PPG: Robust Reflective Photoplethysmography by Fusing Multiple Wavelengths for Cardiac Monitoring—0
WildPPG: A Real-World PPG Dataset of Long Continuous RecordingsCode1
EnhancePPG: Improving PPG-based Heart Rate Estimation with Self-Supervision and Augmentation—0
Mamba-based Deep Learning Approaches for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography—0
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation—0
Detecting Cognitive Impairment and Psychological Well-being among Older Adults Using Facial, Acoustic, Linguistic, and Cardiovascular Patterns Derived from Remote Conversations—0
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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