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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 51–100 of 148 papers

TitleStatusHype
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
Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach—0
Bootstrapping Vision-language Models for Self-supervised Remote Physiological Measurement—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
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
Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure—0
Non-Contact Acquisition of PPG Signal using Chest Movement-Modulated Radio Signals—0
You can monitor your hydration level using your smartphone camera—0
TNANet: A Temporal-Noise-Aware Neural Network for Suicidal Ideation Prediction with Noisy Physiological Data—0
Cuff-less Arterial Blood Pressure Waveform Synthesis from Single-site PPG using Transformer & Frequency-domain Learning—0
Variability of morphology in beat-to-beat photoplethysmographic waveform quantified with unsupervised wave-shape manifold learning for clinical assessment—0
A low-cost PPG sensor-based empirical study on healthy aging based on changes in PPG morphology—0
SRMAC -- Smoothed Recursive Moving Average Crossover for Real-Time Systolic Peak Detection in PhotoplethysmographyCode0
Large-scale Training of Foundation Models for Wearable Biosignals—0
Non-Contact NIR PPG Sensing through Large Sequence Signal Regression—0
A Novel 1D Generative Adversarial Network-based Framework for Atrial Fibrillation Detection using Restored Wrist Photoplethysmography Signals—0
Video-based sympathetic arousal assessment via peripheral blood flow estimation—0
Remote Heart Rate Monitoring in Smart Environments from Videos with Self-supervised Pre-training—0
Photoplethysmography based atrial fibrillation detection: an updated review from July 2019—0
PPG-to-ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling—0
Personalised and Adjustable Interval Type-2 Fuzzy-Based PPG Quality Assessment for the Edge—0
PhysioZoo: The Open Digital Physiological Biomarkers Resource—0
A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals—0
Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features—0
Car-Driver Drowsiness Assessment through 1D Temporal Convolutional Networks—0
Visual Saliency Detection in Advanced Driver Assistance Systems—0
Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG SignalCode0
Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices—0
An Embedded Auto-Calibrated Offset Current Compensation Technique for PPG/fNIRS System—0
Personalized Anomaly Detection in PPG Data using Representation Learning and Biometric Identification—0
A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation from Wearables—0
ApSense: Data-driven Algorithm in PPG-based Sleep Apnea SensingCode0
Camera PPG waveforms at the forehead—0
Amplitude-Independent Machine Learning for PPG through Visibility Graphs and Transfer Learning—0
Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning—0
PPG Signals for Hypertension Diagnosis: A Novel Method using Deep Learning Models—0
Deep Learning Systems for Advanced Driving Assistance—0
Efficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning—0
PPG-based Heart Rate Estimation with Efficient Sensor Sampling and Learning Models—0
HDformer: A Higher Dimensional Transformer for Diabetes Detection Utilizing Long Range Vascular Signals—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
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