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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 1–25 of 131 papers

TitleStatusHype
Longitudinal analysis of heart rate variability as it pertains to anxiety and readiness—0
Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning—0
Heart2Mind: Human-Centered Contestable Psychiatric Disorder Diagnosis System using Wearable ECG MonitorsCode0
IKrNet: A Neural Network for Detecting Specific Drug-Induced Patterns in Electrocardiograms Amidst Physiological Variability—0
Extending Stress Detection Reproducibility to Consumer Wearable Sensors—0
From Biometrics to Environmental Control: AI-Enhanced Digital Twins for Personalized Health Interventions in Healing Landscapes—0
Real-Time, Single-Ear, Wearable ECG Reconstruction, R-Peak Detection, and HR/HRV MonitoringCode0
Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact—0
Clustering Analysis of Long-term Cardiovascular Complications in COVID-19 Patients—0
TAU: Modeling Temporal Consistency Through Temporal Attentive U-Net for PPG Peak Detection—0
Investigating the Generalizability of ECG Noise Detection Across Diverse Data Sources and Noise Types—0
Beyond Cortisol! Physiological Indicators of Welfare for Dogs: Deficits, Misunderstandings and Opportunities—0
Non-Interchangeability between Heart Rate Variability and Pulse Rate Variability During Supine-to-Stand Tests—0
Direct Estimation of Pediatric Heart Rate Variability from BOLD-fMRI: A Machine Learning Approach Using Dynamic Connectivity—0
Tri-Spectral PPG: Robust Reflective Photoplethysmography by Fusing Multiple Wavelengths for Cardiac Monitoring—0
Heartbeat Detection from Ballistocardiogram using Transformer Network—0
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation—0
Scaling Wearable Foundation Models—0
Heart Rate and its Variability from Short-term ECG Recordings as Biomarkers for Detecting Mild Cognitive Impairment in Indian Population—0
Improving Machine Learning Based Sepsis Diagnosis Using Heart Rate Variability—0
Toward Motion Robustness: A masked attention regularization framework in remote photoplethysmography—0
MDDBranchNet: A Deep Learning Model for Detecting Major Depressive Disorder Using ECG SignalCode0
Classification of Phobia Levels in Patients with Arachnophobia Using BPM Analysis of ECG SignalsCode0
Wearable Device-Based Real-Time Monitoring of Physiological Signals: Evaluating Cognitive Load Across Different Tasks—0
Interbeat Interval Filtering—0
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