Papers Heart Rate Variability
“Heart Rate Variability” 태그가 달린 논문 131편 · 필터 해제
ReViSe: Remote Vital Signs Measurement Using Smartphone Camera
We propose an end-to-end framework to measure people's vital signs including Heart Rate (HR), Heart Rate Variability (HRV), Oxygen Saturation (SpO2) and Blood Pressure (BP) based on the rPPG methodology from the video of…
Heart Rate VariabilityDepression Recognition using Remote Photoplethysmography from Facial Videos
Depression is a mental illness that may be harmful to an individual's health. The detection of mental health disorders in the early stages and a precise diagnosis are critical to avoid social, physiological, or psycholog…
Heart Rate VariabilitySCAMPS: Synthetics for Camera Measurement of Physiological Signals
The use of cameras and computational algorithms for noninvasive, low-cost and scalable measurement of physiological (e.g., cardiac and pulmonary) vital signs is very attractive. However, diverse data representing a range…
DescriptiveDiversityHeart Rate VariabilityImproved Cardiac Arrhythmia Prediction Based on Heart Rate Variability Analysis
Many types of ventricular and atrial cardiac arrhythmias have been discovered in clinical practice in the past 100 years, and these arrhythmias are a major contributor to sudden cardiac death. Ventricular tachycardia, ve…
Arrhythmia DetectionHeart Rate VariabilityManagementpyVHR: a Python framework for remote photoplethysmography
Remote photoplethysmography (rPPG) aspires to automatically estimate heart rate (HR) variability from videos in realistic environments. A number of effective methods relying on data-driven, model-based and statistical ap…
GPUHeart rate estimationHeart Rate VariabilityPhotoplethysmography (PPG)+2PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression
Heart rate variability (HRV) is a practical and noninvasive measure of autonomic nervous system activity, which plays an essential role in cardiovascular health. However, using HRV to assess physiology status is challeng…
counterfactualHeart Rate VariabilityregressionRhythmAnalysing the Performance of Stress Detection Models on Consumer-Grade Wearable Devices
Identifying stress levels can provide valuable data for mental health analytics as well as labels for annotation systems. Although much research has been conducted into stress detection models using heart rate variabilit…
Heart Rate VariabilityExploratory Hidden Markov Factor Models for Longitudinal Mobile Health Data: Application to Adverse Posttraumatic Neuropsychiatric Sequelae
Adverse posttraumatic neuropsychiatric sequelae (APNS) are common among veterans and millions of Americans after traumatic exposures, resulting in substantial burdens for trauma survivors and society. Despite numerous st…
Heart Rate VariabilityModel Selectionparameter estimationKoopman Spectral Analysis of Intermittent Dynamics in Complex Systems: A Case Study in Pathophysiological Processes of Obstructive Sleep Apnea
Complex systems, such as pathophysiological processes, commonly exhibit chaotic, nonlinear, and intermittent phenomena. Koopman operator theory and Hankel alternative view of Koopman (HAVOK) model have been widely used t…
AttributeHeart Rate VariabilityHuman Stress Assessment: A Comprehensive Review of Methods Using Wearable Sensors and Non-wearable Techniques
This paper presents a comprehensive review of methods covering significant subjective and objective human stress detection techniques available in the literature. The methods for measuring human stress responses could in…
Heart Rate VariabilityMental Stress DetectionPupil DilationUsing Ballistocardiography for Sleep Stage Classification
A practical way of detecting sleep stages has become more necessary as we begin to learn about the vast effects that sleep has on people's lives. The current methods of sleep stage detection are expensive, invasive to a …
ClassificationHeart Rate VariabilitySleep Stage DetectionV2iFi: in-Vehicle Vital Sign Monitoring via Compact RF Sensing
Given the significant amount of time people spend in vehicles, health issues under driving condition have become a major concern. Such issues may vary from fatigue, asthma, stroke, to even heart attack, yet they can be a…
Heart Rate VariabilityWhen heart beats differently in depression: a review of HRV measures
Background and Objective: The connection between depression and autonomous nervous system (ANS) is well documented in scientific literature. Heart rate variability (HRV) is a rich source of information for studying the d…
Heart Rate VariabilityManagementNon-contact Atrial Fibrillation Detection from Face Videos by Learning Systolic Peaks
Objective: We propose a non-contact approach for atrial fibrillation (AF) detection from face videos. Methods: Face videos, electrocardiography (ECG), and contact photoplethysmography (PPG) from 100 healthy subjects and …
Atrial Fibrillation DetectionElectrocardiography (ECG)Heart Rate VariabilityPhotoplethysmography (PPG)+3Personalized Federated Learning with Clustering: Non-IID Heart Rate Variability Data Application
While machine learning techniques are being applied to various fields for their exceptional ability to find complex relations in large datasets, the strengthening of regulations on data ownership and privacy is causing i…
ClusteringFederated LearningHeart Rate VariabilityPersonalized Federated Learning+1Personalized Stress Monitoring using Wearable Sensors in Everyday Settings
Since stress contributes to a broad range of mental and physical health problems, the objective assessment of stress is essential for behavioral and physiological studies. Although several studies have evaluated stress l…
Heart Rate VariabilityPhotoplethysmography (PPG)Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error
Inter-beat interval (IBI) measurement enables estimation of heart-rate variability (HRV) which, in turns, can provide early indication of potential cardiovascular diseases. However, extracting IBIs from noisy signals is …
DenoisingHeart Rate VariabilityAn Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN
A photoplethysmography (PPG) is an uncomplicated and inexpensive optical technique widely used in the healthcare domain to extract valuable health-related information, e.g., heart rate variability, blood pressure, and re…
Generative Adversarial NetworkHeart Rate VariabilityPhotoplethysmography (PPG)Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement
Remote photoplethysmography (rPPG) based physiological measurement has great application values in health monitoring, emotion analysis, etc. Existing methods mainly focus on how to enhance or extract the very weak bl…
DisentanglementEmotion RecognitionHeart Rate VariabilityInformation Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for Trustworthy AI
In order to develop machine learning and deep learning models that take into account the guidelines and principles of trustworthy AI, a novel information theoretic trustworthy AI framework is introduced. A unified approa…
Heart Rate VariabilityPrivacy Preserving