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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
PaPaGei: Open Foundation Models for Optical Physiological SignalsCode2
Interpretable Pre-Trained Transformers for Heart Time-Series DataCode2
pyVHR: a Python framework for remote photoplethysmographyCode2
Domain Knowledge Integrated CNN-xLSTM-xAtt Network with Multi Stream Feature Fusion for Cuffless Blood Pressure Estimation from Photoplethysmography SignalsCode1
Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking StudyCode1
WildPPG: A Real-World PPG Dataset of Long Continuous RecordingsCode1
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
A Review of Deep Learning Methods for Photoplethysmography DataCode1
ALPHA: AnomaLous Physiological Health Assessment Using Large Language ModelsCode1
SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation DetectionCode1
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG TranslationCode1
Hypertension Detection From High-Dimensional Representation of Photoplethysmogram SignalsCode1
Sparse learned kernels for interpretable and efficient medical time series processingCode1
Motion Matters: Neural Motion Transfer for Better Camera Physiological MeasurementCode1
Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection using Eight Million Samples Labeled with Imprecise Arrhythmia AlarmsCode1
Facial Video-based Remote Physiological Measurement via Self-supervised LearningCode1
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable DevicesCode1
An Open Framework for Remote-PPG Methods and their AssessmentCode1
BayesBeat: Reliable Atrial Fibrillation Detection from Noisy Photoplethysmography DataCode1
End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using WearablesCode1
CAST-Phys: Contactless Affective States Through Physiological signals Database—0
Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks—0
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
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
Tri-Spectral PPG: Robust Reflective Photoplethysmography by Fusing Multiple Wavelengths for Cardiac Monitoring—0
Robust Heart Rate Detection via Multi-Site PhotoplethysmographyCode0
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
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
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