Papers Heart Rate Variability
“Heart Rate Variability” 태그가 달린 논문 131편 · 필터 해제
Reproducible biomarkers: Leveraging nonlinear descriptors in the face of non-ergodicity
Any reliable biomarker has to be specific, generalizable, and reproducible across individuals and contexts. The exact values of such a biomarker must represent similar health states in different individuals and at differ…
Heart Rate VariabilityCamera-Based HRV Prediction for Remote Learning Environments
In recent years, due to the widespread use of internet videos, remote photoplethysmography (rPPG) has gained more and more attention in the fields of affective computing. Restoring blood volume pulse (BVP) signals from f…
Computational EfficiencyHeart Rate VariabilityPredictionEfficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning
Heart Rate Variability (HRV) measures the variation of the time between consecutive heartbeats and is a major indicator of physical and mental health. Recent research has demonstrated that photoplethysmography (PPG) sens…
Heart Rate VariabilityPhotoplethysmography (PPG)Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection
Drowsy driving is a major cause of road accidents, but drivers are dismissive of the impact that fatigue can have on their reaction times. To detect drowsiness before any impairment occurs, a promising strategy is using …
Adversarial RobustnessHeart Rate VariabilityMachine learning-based detection of cardiovascular disease using ECG signals: performance vs. complexity
Cardiovascular disease remains a significant problem in modern society. Among non-invasive techniques, the electrocardiogram (ECG) is one of the most reliable methods for detecting abnormalities in cardiac activities. Ho…
Heart Rate VariabilitySleep Quality Prediction from Wearables using Convolution Neural Networks and Ensemble Learning
Sleep is among the most important factors affecting one's daily performance, well-being, and life quality. Nevertheless, it became possible to measure it in daily life in an unobtrusive manner with wearable devices. Rath…
Activity RecognitionEnsemble LearningHeart Rate VariabilityHuman Activity Recognition+2A Feature Selection Method for Driver Stress Detection Using Heart Rate Variability and Breathing Rate
Driver stress is a major cause of car accidents and death worldwide. Furthermore, persistent stress is a health problem, contributing to hypertension and other diseases of the cardiovascular system. Stress has a measurab…
feature selectionHeart Rate VariabilityGreedy-optimized Approach for Interbeat Interval and Heart Rate Variability Daily Monitoring using Wearable PPG
Continuous monitoring of heart rate variability (HRV) provides insights in cardiovascular health. Wearable Photoplethysmography (PPG) assures convenient measurement of HRV. PPG, however, is susceptible to motion artifact…
Heart Rate VariabilityPhotoplethysmography (PPG)Temporal Variation Measure Analysis: An Improved Second-Order Difference Plot
In this study, an improved second-order difference plot is proposed to analyze the variability of heart rate variability. Although the variation of physiological status of cardiovascular system can be shown graphically b…
DescriptiveHeart Rate VariabilityCardiacGen: A Hierarchical Deep Generative Model for Cardiac Signals
We present CardiacGen, a Deep Learning framework for generating synthetic but physiologically plausible cardiac signals like ECG. Based on the physiology of cardiovascular system function, we propose a modular hierarchic…
Data AugmentationDeep LearningHeart Rate VariabilityPan-Tompkins++: A Robust Approach to Detect R-peaks in ECG Signals
R-peak detection is crucial in electrocardiogram (ECG) signal processing as it is the basis of heart rate variability analysis. The Pan-Tompkins algorithm is the most widely used QRS complex detector for the monitoring o…
Arrhythmia DetectionHeart Rate VariabilityFacial Video-based Remote Physiological Measurement via Self-supervised Learning
Facial video-based remote physiological measurement aims to estimate remote photoplethysmography (rPPG) signals from human face videos and then measure multiple vital signs (e.g. heart rate, respiration frequency) from r…
Heart Rate VariabilityPhotoplethysmography (PPG)Self-Supervised LearningOn the Generalizability of ECG-based Stress Detection Models
Stress is prevalent in many aspects of everyday life including work, healthcare, and social interactions. Many works have studied handcrafted features from various bio-signals that are indicators of stress. Recently, dee…
Deep LearningHeart Rate VariabilityReal-Time Monitoring of User Stress, Heart Rate and Heart Rate Variability on Mobile Devices
Stress is considered to be the epidemic of the 21st-century. Yet, mobile apps cannot directly evaluate the impact of their content and services on user stress. We introduce the Beam AI SDK to address this issue. Using ou…
Heart rate estimationHeart Rate VariabilityMental Stress DetectionPhotoplethysmography (PPG)+2Minute ventilation measurement using Plethysmographic Imaging and lighting parameters
Breathing disorders such as sleep apnea is a critical disorder that affects a large number of individuals due to the insufficient capacity of the lungs to contain/exchange oxygen and carbon dioxide to ensure that the bod…
Heart Rate VariabilityAtrial Fibrillation Recurrence Risk Prediction from 12-lead ECG Recorded Pre- and Post-Ablation Procedure
Introduction: 12-lead electrocardiogram (ECG) is recorded during atrial fibrillation (AF) catheter ablation procedure (CAP). It is not easy to determine if CAP was successful without a long follow-up assessing for AF rec…
Heart Rate VariabilityManagementPredictionA Web Application for Experimenting and Validating Remote Measurement of Vital Signs
With a surge in online medical advising remote monitoring of patient vitals is required. This can be facilitated with the Remote Photoplethysmography (rPPG) techniques that compute vital signs from facial videos. It invo…
Heart Rate VariabilityBias Reducing Multitask Learning on Mental Health Prediction
There has been an increase in research in developing machine learning models for mental health detection or prediction in recent years due to increased mental health issues in society. Effective use of mental health pred…
FairnessFeature ImportanceHeart Rate VariabilityMulti-Task Learning+1Statistical model for describing heart rate variability in normal rhythm and atrial fibrillation
Heart rate variability (HRV) indices describe properties of interbeat intervals in electrocardiogram (ECG). Usually HRV is measured exclusively in normal sinus rhythm (NSR) excluding any form of paroxysmal rhythm. Atrial…
Heart Rate VariabilityRhythmFastBVP-Net: a lightweight pulse extraction network for measuring heart rhythm via facial videos
Remote photoplethysmography (rPPG) is an attractive camera-based health monitoring method that can measure the heart rhythm from facial videos. Many well-established deep-learning models have been reported to measure hea…
Heart rate estimationHeart Rate VariabilityRhythm