With the fast development of wearable medical device in recent years, it becomes critical to
conduct research on continuously measured physiological signals. Entropy is a key metric …

Cardiac arrhythmia is a common difficulty of human cardiovascular system and can be
evaluated using cardiac rate variability. Multiscale Cross Sample Entropy (MCSEn) is used …

In humans, physiological systems involved in maintaining stable conditions for health and
well-being are complex, encompassing multiple interactions within and between system …

The kinetics of physiological responses to exercise have traditionally been characterized by
estimating exponential equation parameters using iterative best-fit techniques of heart rate …

The purpose of this study is to study the effect of age on the correlation between heart rate
variability (HRV) and blood pressure variability (BPV). To meet this end, multi-scale cross …

Military personnel are repeatedly exposed to multiple stressors, and are sometimes
characterized by high levels of anger. Evidence suggests that this anger can become …

In this paper, based upon the appearance of patterns derived from a time series, we have
investigated the suitability of multiscale entropy (MSE) technique for complexity …

This paper presents multi-scale fractal dimension (MFD) for the complexity assessment of
heart rate variability (HRV) and systolic blood pressure variability (SBPV) under postural …

In the study, Granger causality frequency analysis based on directed coherence is utilized to
detect and quantify directional interaction among heart rate, systolic blood pressure and …

ECG or electrocardiogram assesses an individual's cardiac rhythm as a signal. This signal is
the significant result of repolarisation and depolarisation of heart's four chambers, through …