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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
Local nature of 0.1 Hz oscillations in microcirculation is confirmed by imaging photoplethysmography—0
Stressor Type Matters! -- Exploring Factors Influencing Cross-Dataset Generalizability of Physiological Stress Detection—0
BERT: Accelerating Vital Signs Measurement for Bioradar with An Efficient Recursive Technique—0
Heart Rate Variability Series is the Output of a non-Chaotic System driven by Dynamical Noise—0
Exploring Physiological Responses in Virtual Reality-based Interventions for Autism Spectrum Disorder: A Data-Driven Investigation—0
Analyzing Participants' Engagement during Online Meetings Using Unsupervised Remote Photoplethysmography with Behavioral Features—0
Multi-modal Heart Failure Risk Estimation based on Short ECG and Sampled Long-Term HRV—0
Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processing—0
A Multimodal Dataset of 21,412 Recorded Nights for Sleep and Respiratory Research—0
Conversational Health Agents: A Personalized LLM-Powered Agent FrameworkCode1
PhysioZoo: The Open Digital Physiological Biomarkers Resource—0
Accelerated Sample-Accurate R-Peak Detectors Based on Visibility GraphsCode1
Development Of Automated Cardiac Arrhythmia Detection Methods Using Single Channel ECG Signal—0
Comparison of HRV Indices of ECG and BCG Signals—0
A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation from Wearables—0
Reproducible biomarkers: Leveraging nonlinear descriptors in the face of non-ergodicity—0
Camera-Based HRV Prediction for Remote Learning EnvironmentsCode1
Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection—0
Efficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning—0
Machine learning-based detection of cardiovascular disease using ECG signals: performance vs. complexity—0
Sleep Quality Prediction from Wearables using Convolution Neural Networks and Ensemble Learning—0
A Feature Selection Method for Driver Stress Detection Using Heart Rate Variability and Breathing Rate—0
Greedy-optimized Approach for Interbeat Interval and Heart Rate Variability Daily Monitoring using Wearable PPG—0
Temporal Variation Measure Analysis: An Improved Second-Order Difference Plot—0
CardiacGen: A Hierarchical Deep Generative Model for Cardiac SignalsCode0
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