This study aimed to employ the recently developed fuzzy measure entropy (FuzzyMEn)
method to compare the difference in heart rate variability (HRV) between rest and exercise …

This paper proposed a new entropy measure, Fuzzy Measure Entropy (FuzzyMEn), for the
analysis of heart rate variability (HRV) signals. FuzzyMEn was calculated based on the fuzzy …

Traditional entropy measures, such as Approximate Entropy (ApEn) and Sample Entropy
(SampEn), are widely used for analyzing heart rate variability (HRV) signals in clinical …

Background Heart rate variability (HRV) has been widely used in the non-invasive
evaluation of cardiovascular function. Recent studies have also attached great importance to …

In this paper, the aim was to study Heart Rate Variability during rest and exercise in
normobaric hypoxia environment using sample entropy. Sample entropy is a powerful way …

In this study, changes in heart rate variability (HRV) induced by exposure to hypoxia were
evaluate in healthy male. The sample entropy as a non-linear method of HRV analysis was …

The RR-interval time series or tachograms obtained from electrocardiograms have been
widely studied since they reflect the cardiac variability, and this is an indicative of the health …

Heart rate variability (HRV) is the variation of the time interval between consecutive
heartbeats and depends on the extrinsic regulation of the heart rate. It can be quantified …

Obstructive sleep apnea (OSA) is a common sleep disorder that is often associated with
reduced heart rate variability (HRV), thus reflecting modulation of the autonomic system …

The analyses of cardiac dynamics appear to be very promising in assessing cardiovascular
health. Short-term analysis well meets the increasing clinical needs for point-of-care …