Papers Heart Rate Variability
“Heart Rate Variability” 태그가 달린 논문 131편 · 필터 해제
The role of the vagus nerve during fetal development and its relationship with the environment
The autonomic nervous system (ANS) regulatory capacity begins before birth as the sympathetic and parasympathetic activity contributes significantly to the fetus' development. Several studies have shown how vagus nerve i…
Heart Rate VariabilityManagementA Machine Learning model of the combination of normalized SD1 and SD2 indexes from 24h-Heart Rate Variability as a predictor of myocardial infarction
Aim: to evaluate the ability of the nonlinear 24-HRV as a predictor of MI using Machine Learning Methods: The sample was composed of 218 patients divided into two groups (Healthy, n=128; MI n=90). The sample dataset is p…
BIG-bench Machine LearningHeart Rate VariabilityDigitalExposome: Quantifying the Urban Environment Influence on Wellbeing based on Real-Time Multi-Sensor Fusion and Deep Belief Network
In this paper, we define the term 'DigitalExposome' as a conceptual framework that takes us closer towards understanding the relationship between environment, personal characteristics, behaviour and wellbeing using multi…
Heart Rate VariabilitySensor FusionReal-time Webcam Heart-Rate and Variability Estimation with Clean Ground Truth for Evaluation
Remote photo-plethysmography (rPPG) uses a camera to estimate a person's heart rate (HR). Similar to how heart rate can provide useful information about a person's vital signs, insights about the underlying physio/psycho…
BenchmarkingHeart Rate VariabilityNovel Classification of Ischemic Heart Disease Using Artificial Neural Network
Ischemic heart disease (IHD), particularly in its chronic stable form, is a subtle pathology due to its silent behavior before developing in unstable angina, myocardial infarction or sudden cardiac death. Machine learnin…
ClassificationGeneral ClassificationHeart Rate VariabilityIdentification of Ischemic Heart Disease by using machine learning technique based on parameters measuring Heart Rate Variability
The diagnosis of heart diseases is a difficult task generally addressed by an appropriate examination of patients clinical data. Recently, the use of heart rate variability (HRV) analysis as well as of some machine learn…
Heart Rate VariabilityMultilabel 12-Lead Electrocardiogram Classification Using Gradient Boosting Tree Ensemble
The 12-lead electrocardiogram (ECG) is a commonly used tool for detecting cardiac abnormalities such as atrial fibrillation, blocks, and irregular complexes. For the PhysioNet/CinC 2020 Challenge, we built an algorithm u…
ClassificationFeature ImportanceGeneral ClassificationHeart Rate VariabilityVideo-based Remote Physiological Measurement via Cross-verified Feature Disentangling
Remote physiological measurements, e.g., remote photoplethysmography (rPPG) based heart rate (HR), heart rate variability (HRV) and respiration frequency (RF) measuring, are playing more and more important roles under th…
Heart Rate VariabilityAmark: Automated Marking and Processing Techniques for Ambulatory ECG Data
We describe techniques and specifications of MATLAB software to process ambulatory electrocardiogram (ECG) data. Through template-based beat identification and simple pattern recognition models on the intervals between r…
Heart Rate VariabilityEmotion Recognition Using Convolutional Neural Network with Selected Statistical Photoplethysmogram Features
Emotion recognition research has been conducted using various physiological signals. In this paper, we propose an efficient photoplethysmogram-based method that fuses the deep features extracted by two deep convolution…
Emotion RecognitionHeart Rate VariabilityHeart Rate Variability as a Predictive Biomarker of Thermal Comfort
Thermal comfort is an assessment of one's satisfaction with the surroundings; yet, most mechanisms that are used to provide thermal comfort are based on approaches that preclude physiological, psychological, and personal…
Heart Rate VariabilityMathematical and Preclinical Investigation of Respiratory Sinus Arrhythmia Effects on Cardiac Output
Respiratory sinus arrhythmia (RSA) is heart rate variability in synchrony with respiration although its functional significance not clear. The loss of sinus arrhythmia may indicate underlying heart failure or disease; th…
Heart Rate VariabilityRPnet: A Deep Learning approach for robust R Peak detection in noisy ECG
Automatic detection of R-peaks in an Electrocardiogram signal is crucial in a multitude of applications including Heart Rate Variability (HRV) analysis and Cardio Vascular Disease(CVD) diagnosis. Although there have been…
Heart Rate VariabilityImage-to-Image TranslationMultimodal pathophysiological dataset of gradual cerebral ischemia in a cohort of juvenile pigs
Ischemic brain injuries are frequent and difficult to detect reliably or early. We present the multi-modal data set containing cardiovascular (blood pressure, blood flow, electrocardiogram) and brain electrical activitie…
EEGElectroencephalogram (EEG)Heart Rate VariabilityHeart Rate Variability as an Indicator of Thermal Comfort State
Thermal comfort is a personal assessment of one's satisfaction with the surroundings. Yet, most thermal comfort delivery mechanisms preclude physiological and psychological precursors to thermal comfort. Accordingly, man…
Heart Rate VariabilityThe neonatal sepsis is diminished by cervical vagus nerve stimulation and tracked non-invasively by ECG: a preliminary report in the piglet model
An electrocardiogram (ECG)-derived heart rate variability (HRV) index reliably tracks the inflammatory response induced by low-dose lipopolysaccharide (LPS) in near-term sheep fetuses. We evaluated the effect of vagus ne…
Heart Rate VariabilityHeart rate variability code: Does it exist and can we hack it?
Heart rate variability (HRV) has been studied for over 50 years, yet an integrative concept is missing on what HRV's mathematical properties represent physiologically. Here I introduce the notion of HRV code as an attemp…
Heart Rate VariabilityA simple method for detecting chaos in nature
Chaos, or exponential sensitivity to small perturbations, appears everywhere in nature. Moreover, chaos is predicted to play diverse functional roles in living systems. A method for detecting chaos from empirical measure…
Heart Rate VariabilityDeepBeat: A multi-task deep learning approach to assess signal quality and arrhythmia detection in wearable devices
Wearable devices enable theoretically continuous, longitudinal monitoring of physiological measurements like step count, energy expenditure, and heart rate. Although the classification of abnormal cardiac rhythms such as…
Arrhythmia DetectionDenoisingEvent DetectionHeart Rate Variability+1Analysis of Cardiovascular Changes Caused by Epileptic Seizures in Human Photoplethysmogram Signal
Objectives: This study examines human Photoplethysmogram (PPG) along with Electrocardiogram (ECG) signals to study cardiac autonomic imbalance in epileptic seizures. The significance and the prevalence of changes in PPG …
EEGElectroencephalogram (EEG)Heart Rate VariabilitySeizure Detection