Papers Heart Rate Variability
“Heart Rate Variability” 태그가 달린 논문 131편 · 필터 해제
Toward Motion Robustness: A masked attention regularization framework in remote photoplethysmography
There has been growing interest in facial video-based remote photoplethysmography (rPPG) measurement recently, with a focus on assessing various vital signs such as heart rate and heart rate variability. Despite previous…
Heart Rate VariabilityMDDBranchNet: A Deep Learning Model for Detecting Major Depressive Disorder Using ECG Signal
Major depressive disorder (MDD) is a chronic mental illness which affects people's well-being and is often detected at a later stage of depression with a likelihood of suicidal ideation. Early detection of MDD is thus ne…
Binary ClassificationEEGHeart Rate VariabilityClassification of Phobia Levels in Patients with Arachnophobia Using BPM Analysis of ECG Signals
This study proposes a method to accurately classify phobia levels in patients with arachnophobia using electrocardiogram (ECG) signal analysis. Key indicators such as heart rate (BPM) and heart rate variability (HRV) wer…
Heart Rate VariabilityWearable Device-Based Real-Time Monitoring of Physiological Signals: Evaluating Cognitive Load Across Different Tasks
This study employs cutting-edge wearable monitoring technology to conduct high-precision, high-temporal-resolution (1-second interval) cognitive load assessment on electroencephalogram (EEG) data from the FP1 channel and…
EEGElectroencephalogram (EEG)Heart Rate VariabilityInterbeat Interval Filtering
A number of inhibitory and excitatory factors regulate the beating of the heart. Consequently, the inter-beat intervals (IBIs) are not constant but vary around a mean value, even in the absence of external factors like e…
Heart Rate VariabilityLocal nature of 0.1 Hz oscillations in microcirculation is confirmed by imaging photoplethysmography
Low-frequency oscillations in the human circulatory system is important for basic physiology and practical applications in clinical medicine. Our objective was to study which mechanism (central or local) is responsible f…
DiagnosticHeart Rate VariabilityStressor Type Matters! -- Exploring Factors Influencing Cross-Dataset Generalizability of Physiological Stress Detection
Automatic stress detection using heart rate variability (HRV) features has gained significant traction as it utilizes unobtrusive wearable sensors measuring signals like electrocardiogram (ECG) or blood volume pulse (BVP…
Heart Rate VariabilityBERT: Accelerating Vital Signs Measurement for Bioradar with An Efficient Recursive Technique
Recent years have witnessed the great advance of bioradar system in smart sensing of vital signs (VS) for human healthcare monitoring. As an important part of VS sensing process, VS measurement aims to capture the chest …
Heart Rate VariabilityHeart Rate Variability Series is the Output of a non-Chaotic System driven by Dynamical Noise
Heart rate variability (HRV) series reflects the dynamical variation of heartbeat-to-heartbeat intervals in time and is one of the outputs of the cardiovascular system. Over the years, this system has been recognized for…
Heart Rate VariabilityExploring Physiological Responses in Virtual Reality-based Interventions for Autism Spectrum Disorder: A Data-Driven Investigation
Virtual Reality (VR) has emerged as a promising tool for enhancing social skills and emotional well-being in individuals with Autism Spectrum Disorder (ASD). Through a technical exploration, this study employs a multipla…
Heart Rate VariabilityAnalyzing Participants' Engagement during Online Meetings Using Unsupervised Remote Photoplethysmography with Behavioral Features
Engagement measurement finds application in healthcare, education, services. The use of physiological and behavioral features is viable, but the impracticality of traditional physiological measurement arises due to the n…
Heart Rate VariabilityMulti-modal Heart Failure Risk Estimation based on Short ECG and Sampled Long-Term HRV
Cardiovascular diseases, including Heart Failure (HF), remain a leading global cause of mortality, often evading early detection. In this context, accessible and effective risk assessment is indispensable. Traditional ap…
DiagnosticHeart Rate VariabilityWhich linguistic cues make people fall for fake news? A comparison of cognitive and affective processing
Fake news on social media has large, negative implications for society. However, little is known about what linguistic cues make people fall for fake news and, hence, how to design effective countermeasures for social me…
ArticlesHeart Rate VariabilityA Multimodal Dataset of 21,412 Recorded Nights for Sleep and Respiratory Research
This study introduces a novel, rich dataset obtained from home sleep apnea tests using the FDA-approved WatchPAT-300 device, collected from 7,077 participants over 21,412 nights. The dataset comprises three levels of sle…
Heart Rate VariabilityTime SeriesConversational Health Agents: A Personalized LLM-Powered Agent Framework
Conversational Health Agents (CHAs) are interactive systems that provide healthcare services, such as assistance and diagnosis. Current CHAs, especially those utilizing Large Language Models (LLMs), primarily focus on co…
Heart Rate VariabilityPhysioZoo: The Open Digital Physiological Biomarkers Resource
PhysioZoo is a collaborative platform designed for the analysis of continuous physiological time series. The platform currently comprises four modules, each consisting of a library, a user interface, and a set of tutoria…
Data VisualizationHeart Rate VariabilityPhotoplethysmography (PPG)Time Series+1Accelerated Sample-Accurate R-Peak Detectors Based on Visibility Graphs
The effective detection and accurate clinical diagnosis of cardiac conditions strongly relies on the correct localization of R-peaks in the electrocardiogram (ECG). Recently, demand for sample-accurate R-peak detection, …
Heart Rate VariabilityQRS Complex DetectionDevelopment Of Automated Cardiac Arrhythmia Detection Methods Using Single Channel ECG Signal
Arrhythmia, an abnormal cardiac rhythm, is one of the most common types of cardiac disease. Automatic detection and classification of arrhythmia can be significant in reducing deaths due to cardiac diseases. This work pr…
Arrhythmia DetectionHeart Rate VariabilityRhythmSensitivityComparison of HRV Indices of ECG and BCG Signals
Electrocardiography (ECG) plays a significant role in diagnosing heart-related issues, it provides, accurate, fast, and dependable insights into crucial parameters like QRS complex duration, the R-R interval, and the occ…
Electrocardiography (ECG)Heart Rate VariabilityA Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation from Wearables
Smart watches and other wearable devices are equipped with photoplethysmography (PPG) sensors for monitoring heart rate and other aspects of cardiovascular health. However, PPG signals collected from such devices are sus…
DenoisingHeart rate estimationHeart Rate VariabilityPhotoplethysmography (PPG)