BackgroundPatients with heart failure reduced left ventricular ejection fraction (LVEF) (HFrEF) experience long-term deterioration of autonomic function and cardiac electrical stability linked to increased mortality risk. The Autonomic Neural Regulation Therapy Enhance Myocardial Function in Heart Failure (ANTHEM-HF) trial reported improved rate variability (HRV) turbulence (HRT) T-wave alterna...

Heart rate variability has been used as a measure of mental workload, stress, and fatigue in drivers. The main goal of this study was to evaluate whether drivers with obstructive sleep apnea syndrome (OSAS) may have significantly different heart rate variability from those who do not have OSAS. Such a condition may indicate lower stress levels and an increase in crash risk due to sleepiness. Th...

Heart rate variability biofeedback (HRV-BF) is frequently used for stress management. Recently, virtual reality technology has gained attention delivery, promising higher immersion, motivation, and than classical screens. However, the effects of different technologies breathing techniques are not yet understood. In this study, 107 healthy participants completed a session in one four conditions:...

Heart rate variability (HRV) is a reliable and powerful tool for the assessment of sympathetic and parasympathetic functions of the autonomic system. Hence HRV is widely used as tool to monitor post myocardial-infarction patients and also diabetes subjects, because as a chronic side effect diabetes affects peripheral and autonomous nervous system. In order to determine how this HRV decreases in...

Introduction Automatic human emotion recognition is one of the most interesting topics in the field of affective computing. However, development of a reliable approach with a reasonable recognition rate is a challenging task. The main objective of the present study was to propose a robust method for discrimination of emotional responses thorough examination of heart rate variability (HRV). In t...

In this paper we describe a software package for developing heart rate variability analysis. This package, called RHRV, is a third party extension for the open source statistical environment R, and can be freely downloaded from the R-CRAN repository. We review the state of the art of software related to the analysis of heart rate variability (HRV). Based upon this review, we motivate the develo...

Heart rate variability (HRV) has become an important clinical marker of cardiovascular health and a research measure for the study of the cardiac conduction system and its autonomic controls. While the zebrafish (Danio rerio) is an ideal vertebrate model for understanding heart development, HRV has only recently been investigated in this system. We have previously demonstrated that nkx2.5 and n...

Context: Previous studies correlating electrolytes levels with heart rate variability (HRV) were conducted exclusively in diseased patients and fail to demonstrate significant correlations, except for a few. Whether absence of significant correlations is physiological or hidden by the associated pathologies is uncertain. Aim: To evaluate the effects of electrolytes concentrations on heart rate ...

The normal heart beat intervals are neither strictly stationary nor completely random, and continuously shift from one period to another. Decoding the ECG identifies this "hidden" information that imparts inherent complexity to the heart-beating interval time series. Loss of this complexity in cardiovascular disease is manifested as a reduction in heart rate variability (HRV) and this reduction...