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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
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
A Review of Deep Learning Methods for Photoplethysmography DataCode1
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
ALPHA: AnomaLous Physiological Health Assessment Using Large Language ModelsCode1
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
SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation DetectionCode1
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
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG TranslationCode1
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
Hypertension Detection From High-Dimensional Representation of Photoplethysmogram SignalsCode1
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
Sparse learned kernels for interpretable and efficient medical time series processingCode1
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
Motion Matters: Neural Motion Transfer for Better Camera Physiological MeasurementCode1
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
Greedy-optimized Approach for Interbeat Interval and Heart Rate Variability Daily Monitoring using Wearable PPG—0
Rapid Extraction of Respiratory Waveforms from Photoplethysmography: A Deep Encoder Approach—0
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
Multi-Head Cross-Attentional PPG and Motion Signal Fusion for Heart Rate Estimation—0
Real-Time Monitoring of User Stress, Heart Rate and Heart Rate Variability on Mobile Devices—0
RRWaveNet: A Compact End-to-End Multi-Scale Residual CNN for Robust PPG Respiratory Rate Estimation—0
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