Papers Heart Rate Variability
“Heart Rate Variability” 태그가 달린 논문 131편 · 필터 해제
Longitudinal analysis of heart rate variability as it pertains to anxiety and readiness
The aim of this study is to explore the relationship between lifestyle choices, subjective experiences and objective biometric data in a single individual. The participant, at the time a male in his twenties, used the El…
Heart Rate VariabilityHeart Rate Classification in ECG Signals Using Machine Learning and Deep Learning
This study addresses the classification of heartbeats from ECG signals through two distinct approaches: traditional machine learning utilizing hand-crafted features and deep learning via transformed images of ECG beats. …
Heart Rate VariabilityHeart2Mind: Human-Centered Contestable Psychiatric Disorder Diagnosis System using Wearable ECG Monitors
Psychiatric disorders affect millions globally, yet their diagnosis faces significant challenges in clinical practice due to subjective assessments and accessibility concerns, leading to potential delays in treatment. To…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Heart Rate VariabilityTime SeriesIKrNet: A Neural Network for Detecting Specific Drug-Induced Patterns in Electrocardiograms Amidst Physiological Variability
Monitoring and analyzing electrocardiogram (ECG) signals, even under varying physiological conditions, including those influenced by physical activity, drugs and stress, is crucial to accurately assess cardiac health. Ho…
Heart Rate VariabilityExtending Stress Detection Reproducibility to Consumer Wearable Sensors
Wearable sensors are widely used to collect physiological data and develop stress detection models. However, most studies focus on a single dataset, rarely evaluating model reproducibility across devices, populations, or…
Heart Rate VariabilityFrom Biometrics to Environmental Control: AI-Enhanced Digital Twins for Personalized Health Interventions in Healing Landscapes
The dynamic nature of human health and comfort calls for adaptive systems that respond to individual physiological needs in real time. This paper presents an AI-enhanced digital twin framework that integrates biometric s…
Heart Rate VariabilityReal-Time, Single-Ear, Wearable ECG Reconstruction, R-Peak Detection, and HR/HRV Monitoring
Biosignal monitoring, in particular heart activity through heart rate (HR) and heart rate variability (HRV) tracking, is vital in enabling continuous, non-invasive tracking of physiological and cognitive states. Recent s…
Heart Rate Variabilityparameter estimationReliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact
Photoplethysmography (PPG) is a widely adopted, non-invasive technique for monitoring cardiovascular health and physiological parameters in both consumer and clinical settings. While motion artifacts in dynamic environme…
Heart Rate VariabilityPhotoplethysmography (PPG)Clustering Analysis of Long-term Cardiovascular Complications in COVID-19 Patients
This study investigates long-term cardiovascular complications in COVID-19 patients using advanced clustering techniques. The objective was to analyse ECG parameters, demographic data, comorbidities, and hospitalization …
ClusteringHeart Rate VariabilityTAU: Modeling Temporal Consistency Through Temporal Attentive U-Net for PPG Peak Detection
Photoplethysmography (PPG) sensors have been widely used in consumer wearable devices to monitor heart rates (HR) and heart rate variability (HRV). Despite the prevalence, PPG signals can be contaminated by motion artifa…
Heart rate estimationHeart Rate VariabilityPhotoplethysmography (PPG)Investigating the Generalizability of ECG Noise Detection Across Diverse Data Sources and Noise Types
Electrocardiograms (ECGs) are essential for monitoring cardiac health, allowing clinicians to analyze heart rate variability (HRV), detect abnormal rhythms, and diagnose cardiovascular diseases. However, ECG signals, esp…
Heart Rate VariabilityBeyond Cortisol! Physiological Indicators of Welfare for Dogs: Deficits, Misunderstandings and Opportunities
This paper aims to initiate new conversations about the use of physiological indicators when assessing the welfare of dogs. There are significant concerns about construct validity - whether the measures used accurately r…
Heart Rate VariabilityNon-Interchangeability between Heart Rate Variability and Pulse Rate Variability During Supine-to-Stand Tests
Heart rate variability (HRV) is widely recognized as a valuable biomarker for assessing autonomic cardiac regulation. Pulse rate variability (PRV) is a common surrogate of HRV given the wide usability of PPG in commercia…
Heart Rate VariabilitySTSDirect Estimation of Pediatric Heart Rate Variability from BOLD-fMRI: A Machine Learning Approach Using Dynamic Connectivity
In many pediatric fMRI studies, cardiac signals are often missing or of poor quality. A tool to extract Heart Rate Variation (HRV) waveforms directly from fMRI data, without the need for peripheral recording devices, wou…
Heart Rate VariabilityTri-Spectral PPG: Robust Reflective Photoplethysmography by Fusing Multiple Wavelengths for Cardiac Monitoring
Multi-channel photoplethysmography (PPG) sensors have found widespread adoption in wearable devices for monitoring cardiac health. Channels thereby serve different functions -- whereas green is commonly used for metrics …
Heart Rate VariabilityPhotoplethysmography (PPG)Heartbeat Detection from Ballistocardiogram using Transformer Network
Longitudinal monitoring of heart rate (HR) and heart rate variability (HRV) can aid in tracking cardiovascular diseases (CVDs), sleep quality, sleep disorders, and reflect autonomic nervous system activity, stress levels…
Heart Rate VariabilitySleep QualityWearable Accelerometer Foundation Models for Health via Knowledge Distillation
Modern wearable devices can conveniently record various biosignals in the many different environments of daily living, enabling a rich view of individual health. However, not all biosignals are the same: high-fidelity bi…
Activity Recognitioncross-modal alignmentHeart Rate VariabilityKnowledge Distillation+2Scaling Wearable Foundation Models
Wearable sensors have become ubiquitous thanks to a variety of health tracking features. The resulting continuous and longitudinal measurements from everyday life generate large volumes of data; however, making sense of …
Activity RecognitionHeart Rate VariabilityImputationHeart Rate and its Variability from Short-term ECG Recordings as Biomarkers for Detecting Mild Cognitive Impairment in Indian Population
Alterations in Heart Rate (HR) and Heart Rate Variability (HRV) can reflect autonomic dysfunction associated with neurodegeneration. We investigate the influence of Mild Cognitive Impairment (MCI) on HR and its variabili…
Heart Rate VariabilityImproving Machine Learning Based Sepsis Diagnosis Using Heart Rate Variability
The early and accurate diagnosis of sepsis is critical for enhancing patient outcomes. This study aims to use heart rate variability (HRV) features to develop an effective predictive model for sepsis detection. Critical …
Decision MakingFeature EngineeringHeart Rate Variability