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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 1–25 of 148 papers

TitleStatusHype
pyVHR: a Python framework for remote photoplethysmographyCode2
PaPaGei: Open Foundation Models for Optical Physiological SignalsCode2
Interpretable Pre-Trained Transformers for Heart Time-Series DataCode2
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG TranslationCode1
Facial Video-based Remote Physiological Measurement via Self-supervised LearningCode1
SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation DetectionCode1
Sparse learned kernels for interpretable and efficient medical time series processingCode1
Hypertension Detection From High-Dimensional Representation of Photoplethysmogram SignalsCode1
ALPHA: AnomaLous Physiological Health Assessment Using Large Language ModelsCode1
Motion Matters: Neural Motion Transfer for Better Camera Physiological MeasurementCode1
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
WildPPG: A Real-World PPG Dataset of Long Continuous RecordingsCode1
An Open Framework for Remote-PPG Methods and their AssessmentCode1
Domain Knowledge Integrated CNN-xLSTM-xAtt Network with Multi Stream Feature Fusion for Cuffless Blood Pressure Estimation from Photoplethysmography SignalsCode1
Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection using Eight Million Samples Labeled with Imprecise Arrhythmia AlarmsCode1
Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking StudyCode1
A Review of Deep Learning Methods for Photoplethysmography DataCode1
End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using WearablesCode1
KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a SmartwatchCode1
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable DevicesCode1
BayesBeat: Reliable Atrial Fibrillation Detection from Noisy Photoplethysmography DataCode1
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
An Embedded Auto-Calibrated Offset Current Compensation Technique for PPG/fNIRS System—0
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