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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
Interpretable Pre-Trained Transformers for Heart Time-Series DataCode2
PaPaGei: Open Foundation Models for Optical Physiological SignalsCode2
pyVHR: a Python framework for remote photoplethysmographyCode2
Facial Video-based Remote Physiological Measurement via Self-supervised LearningCode1
SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG SignalsCode1
BayesBeat: Reliable Atrial Fibrillation Detection from Noisy Photoplethysmography DataCode1
Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection using Eight Million Samples Labeled with Imprecise Arrhythmia AlarmsCode1
Hypertension Detection From High-Dimensional Representation of Photoplethysmogram SignalsCode1
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
Motion Matters: Neural Motion Transfer for Better Camera Physiological MeasurementCode1
End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using WearablesCode1
SiamQuality: A ConvNet-Based Foundation Model for Imperfect Physiological SignalsCode1
Domain Knowledge Integrated CNN-xLSTM-xAtt Network with Multi Stream Feature Fusion for Cuffless Blood Pressure Estimation from Photoplethysmography SignalsCode1
KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a SmartwatchCode1
ALPHA: AnomaLous Physiological Health Assessment Using Large Language ModelsCode1
Sparse learned kernels for interpretable and efficient medical time series processingCode1
A Review of Deep Learning Methods for Photoplethysmography DataCode1
Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking StudyCode1
WildPPG: A Real-World PPG Dataset of Long Continuous RecordingsCode1
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable DevicesCode1
An Open Framework for Remote-PPG Methods and their AssessmentCode1
Log-Spectral Matching GAN: PPG-based Atrial Fibrillation Detection can be Enhanced by GAN-based Data Augmentation with Integration of Spectral LossCode0
Stress Detection from Photoplethysmography in a Virtual Reality EnvironmentCode0
SRMAC -- Smoothed Recursive Moving Average Crossover for Real-Time Systolic Peak Detection in PhotoplethysmographyCode0
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
Online Heart Rate Prediction using Acceleration from a Wrist Worn WearableCode0
Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approachesCode0
Modeling arterial pulse waves in healthy aging: a database for in silico evaluation of hemodynamics and pulse wave indexesCode0
SepAl: Sepsis Alerts On Low Power Wearables With Digital Biomarkers and On-Device Tiny Machine LearningCode0
Deep Imbalanced Regression to Estimate Vascular Age from PPG Data: a Novel Digital Biomarker for Cardiovascular HealthCode0
ApSense: Data-driven Algorithm in PPG-based Sleep Apnea SensingCode0
Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG SignalCode0
HeartBEAT: Heart Beat Estimation through Adaptive TrackingCode0
Flexible framework for generating synthetic electrocardiograms and photoplethysmogramsCode0
Fingertip Video Dataset for Non-Invasive Diagnosis of Anemia Using ResNet-18 ClassifierCode0
Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time SeriesCode0
INN-PAR: Invertible Neural Network for PPG to ABP ReconstructionCode0
Long-term Blood Pressure Prediction with Deep Recurrent Neural NetworksCode0
Artificial Intelligence-derived Vascular Age from Photoplethysmography: A Novel Digital Biomarker for Cardiovascular HealthCode0
Classification of Perceived Human Stress using Physiological Signals—0
CAST-Phys: Contactless Affective States Through Physiological signals Database—0
Car-Driver Drowsiness Assessment through 1D Temporal Convolutional Networks—0
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
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
Camera PPG waveforms at the forehead—0
An Embedded Auto-Calibrated Offset Current Compensation Technique for PPG/fNIRS System—0
Bootstrapping Vision-language Models for Self-supervised Remote Physiological Measurement—0
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