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 51–100 of 148 papers

TitleStatusHype
Hiding Your Signals: A Security Analysis of PPG-based Biometric Authentication—0
Improvements in Remote Cardiopulmonary Measurement Using a Five Band Digital Camera—0
Instant Automated Inference of Perceived Mental Stress through Smartphone PPG and Thermal Imaging—0
Joint Attention Mechanism Learning to Facilitate Opto-physiological Monitoring during Physical Activity—0
Large-scale Training of Foundation Models for Wearable Biosignals—0
LSTM knowledge transfer for HRV-based sleep staging—0
Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features—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
Remote Heart Rate Monitoring in Smart Environments from Videos with Self-supervised Pre-training—0
RRWaveNet: A Compact End-to-End Multi-Scale Residual CNN for Robust PPG Respiratory Rate Estimation—0
Signal Quality Assessment of Photoplethysmogram Signals using Quantum Pattern Recognition and lightweight CNN Architecture—0
SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography—0
Stress Assessment with Convolutional Neural Network Using PPG Signals—0
SympCam: Remote Optical Measurement of Sympathetic Arousal—0
TAU: Modeling Temporal Consistency Through Temporal Attentive U-Net for PPG Peak Detection—0
TNANet: A Temporal-Noise-Aware Neural Network for Suicidal Ideation Prediction with Noisy Physiological Data—0
TransfoRhythm: A Transformer Architecture Conductive to Blood Pressure Estimation via Solo PPG Signal Capturing—0
Tri-Spectral PPG: Robust Reflective Photoplethysmography by Fusing Multiple Wavelengths for Cardiac Monitoring—0
Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models—0
Unexpected sawtooth artifact in beat-to-beat pulse transit time measured from patient monitor data—0
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
Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers—0
Mamba-based Deep Learning Approaches for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography—0
Show:102550
← PrevPage 2 of 3Next →

No leaderboard results yet.