SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–148 of 148 papers

TitleStatusHype
User Authentication and Vital Signs Extraction from Low-Frame-Rate and Monochrome No-contact Fingerprint Captures—0
Using Photoplethysmography to Detect Real-time Blood Pressure Changes with a Calibration-free Deep Learning Model—0
Variability of morphology in beat-to-beat photoplethysmographic waveform quantified with unsupervised wave-shape manifold learning for clinical assessment—0
Video-based sympathetic arousal assessment via peripheral blood flow estimation—0
Visual Saliency Detection in Advanced Driver Assistance Systems—0
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation—0
Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks—0
You can monitor your hydration level using your smartphone camera—0
A Deep Learning Approach to Predict Blood Pressure from PPG Signals—0
Greedy-optimized Approach for Interbeat Interval and Heart Rate Variability Daily Monitoring using Wearable PPG—0
A low-cost PPG sensor-based empirical study on healthy aging based on changes in PPG morphology—0
A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals—0
Am I fit for this physical activity? Neural embedding of physical conditioning from inertial sensors—0
Amplitude-Independent Machine Learning for PPG through Visibility Graphs and Transfer Learning—0
A Multimodal Perceived Stress Classification Framework using Wearable Physiological Sensors—0
An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN—0
Analysis of CNN-based remote-PPG to understand limitations and sensitivities—0
An Effective Entropy-assisted Mind-wandering Detection System with EEG Signals based on MM-SART Database—0
An Embedded Auto-Calibrated Offset Current Compensation Technique for PPG/fNIRS System—0
An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks—0
A Novel 1D Generative Adversarial Network-based Framework for Atrial Fibrillation Detection using Restored Wrist Photoplethysmography Signals—0
A Novel Time-Varying Spectral Filtering Algorithm for Reconstruction of Motion Artifact Corrupted Heart Rate Signals During Intense Physical Activities Using a Wearable Photoplethysmogram Sensor—0
A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation from Wearables—0
A Sparse Sampling Sensor Front-end IC for Low Power Continuous SpO_2 \& HR Monitoring—0
Blood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network—0
Bootstrapping Vision-language Models for Self-supervised Remote Physiological Measurement—0
Camera PPG waveforms at the forehead—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
Car-Driver Drowsiness Assessment through 1D Temporal Convolutional Networks—0
CAST-Phys: Contactless Affective States Through Physiological signals Database—0
Classification of Perceived Human Stress using Physiological Signals—0
Computationally efficient heart rate estimation during physical exercise using photoplethysmographic signals—0
Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure—0
Contactless pulse rate assessment: Results and insights for application in driving simulator—0
Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model—0
Covfefe: A Computer Vision Approach For Estimating Force Exertion—0
Cuff-less Arterial Blood Pressure Waveform Synthesis from Single-site PPG using Transformer & Frequency-domain Learning—0
Deep Learning Classification of Photoplethysmogram Signal for Hypertension Levels—0
Deep Learning Systems for Advanced Driving Assistance—0
Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks—0
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms—0
Detecting Cognitive Impairment and Psychological Well-being among Older Adults Using Facial, Acoustic, Linguistic, and Cardiovascular Patterns Derived from Remote Conversations—0
Efficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning—0
Efficient Real-Time Camera Based Estimation of Heart Rate and Its Variability—0
Efficient Remote Photoplethysmography with Temporal Derivative Modules and Time-Shift Invariant Loss—0
Embedding Temporal Convolutional Networks for Energy-Efficient PPG-Based Heart Rate Monitoring—0
EnhancePPG: Improving PPG-based Heart Rate Estimation with Self-Supervision and Augmentation—0
Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach—0
Show:102550
← PrevPage 3 of 3Next →

No leaderboard results yet.