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Heart Rate Variability
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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.
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Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning
Heart2Mind: Human-Centered Contestable Psychiatric Disorder Diagnosis System using Wearable ECG Monitors
IKrNet: A Neural Network for Detecting Specific Drug-Induced Patterns in Electrocardiograms Amidst Physiological Variability
Extending Stress Detection Reproducibility to Consumer Wearable Sensors
From Biometrics to Environmental Control: AI-Enhanced Digital Twins for Personalized Health Interventions in Healing Landscapes
Real-Time, Single-Ear, Wearable ECG Reconstruction, R-Peak Detection, and HR/HRV Monitoring
Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact
Clustering Analysis of Long-term Cardiovascular Complications in COVID-19 Patients
TAU: Modeling Temporal Consistency Through Temporal Attentive U-Net for PPG Peak Detection
Investigating the Generalizability of ECG Noise Detection Across Diverse Data Sources and Noise Types
Beyond Cortisol! Physiological Indicators of Welfare for Dogs: Deficits, Misunderstandings and Opportunities
Non-Interchangeability between Heart Rate Variability and Pulse Rate Variability During Supine-to-Stand Tests
Direct Estimation of Pediatric Heart Rate Variability from BOLD-fMRI: A Machine Learning Approach Using Dynamic Connectivity
Tri-Spectral PPG: Robust Reflective Photoplethysmography by Fusing Multiple Wavelengths for Cardiac Monitoring
Heartbeat Detection from Ballistocardiogram using Transformer Network
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
Scaling Wearable Foundation Models
Heart Rate and its Variability from Short-term ECG Recordings as Biomarkers for Detecting Mild Cognitive Impairment in Indian Population
Improving Machine Learning Based Sepsis Diagnosis Using Heart Rate Variability
Toward Motion Robustness: A masked attention regularization framework in remote photoplethysmography
MDDBranchNet: A Deep Learning Model for Detecting Major Depressive Disorder Using ECG Signal
Wearable Device-Based Real-Time Monitoring of Physiological Signals: Evaluating Cognitive Load Across Different Tasks
Interbeat Interval Filtering
Local nature of 0.1 Hz oscillations in microcirculation is confirmed by imaging photoplethysmography
Stressor Type Matters! -- Exploring Factors Influencing Cross-Dataset Generalizability of Physiological Stress Detection
BERT: Accelerating Vital Signs Measurement for Bioradar with An Efficient Recursive Technique
Heart Rate Variability Series is the Output of a non-Chaotic System driven by Dynamical Noise
Exploring Physiological Responses in Virtual Reality-based Interventions for Autism Spectrum Disorder: A Data-Driven Investigation
Analyzing Participants' Engagement during Online Meetings Using Unsupervised Remote Photoplethysmography with Behavioral Features
Multi-modal Heart Failure Risk Estimation based on Short ECG and Sampled Long-Term HRV
Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processing
A Multimodal Dataset of 21,412 Recorded Nights for Sleep and Respiratory Research
Conversational Health Agents: A Personalized LLM-Powered Agent Framework
PhysioZoo: The Open Digital Physiological Biomarkers Resource
Accelerated Sample-Accurate R-Peak Detectors Based on Visibility Graphs
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