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Heart Rate Variability

Heart rate variability (HRV) is the physiological phenomenon of variation in the time interval between heartbeats. It is measured by the variation in the beat-to-beat interval.

Papers

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Showing 26–50 of 131 papers

TitleStatusHype
Bias Reducing Multitask Learning on Mental Health Prediction—0
Analyzing Participants' Engagement during Online Meetings Using Unsupervised Remote Photoplethysmography with Behavioral Features—0
Greedy-optimized Approach for Interbeat Interval and Heart Rate Variability Daily Monitoring using Wearable PPG—0
Clustering Analysis of Long-term Cardiovascular Complications in COVID-19 Patients—0
Comparison of HRV Indices of ECG and BCG Signals—0
Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection—0
A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation from Wearables—0
Detecting Pulse from Head Motions in Video—0
DeStress: Deep Learning for Unsupervised Identification of Mental Stress in Firefighters from Heart-rate Variability (HRV) Data—0
A Real-Time Automated Point-Process Method for the Detection and Correction of Erroneous and Ectopic Heartbeats—0
Amark: Automated Marking and Processing Techniques for Ambulatory ECG Data—0
Development Of Automated Cardiac Arrhythmia Detection Methods Using Single Channel ECG Signal—0
DigitalExposome: Quantifying the Urban Environment Influence on Wellbeing based on Real-Time Multi-Sensor Fusion and Deep Belief Network—0
Direct Estimation of Pediatric Heart Rate Variability from BOLD-fMRI: A Machine Learning Approach Using Dynamic Connectivity—0
Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement—0
Effects of mindfulness on perceived stress levels and heart rate variability—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
Emotion Recognition Using Convolutional Neural Network with Selected Statistical Photoplethysmogram Features—0
Exploratory Hidden Markov Factor Models for Longitudinal Mobile Health Data: Application to Adverse Posttraumatic Neuropsychiatric Sequelae—0
Exploring Physiological Responses in Virtual Reality-based Interventions for Autism Spectrum Disorder: A Data-Driven Investigation—0
Extending Stress Detection Reproducibility to Consumer Wearable Sensors—0
Extraction of clinical information from the non-invasive fetal electrocardiogram—0
From Biometrics to Environmental Control: AI-Enhanced Digital Twins for Personalized Health Interventions in Healing Landscapes—0
Depression Recognition using Remote Photoplethysmography from Facial Videos—0
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