The detrended cross-correlation coefficient ρ DCCA has recently been proposed to quantify
the strength of cross-correlations on different temporal scales in bivariate, nonstationary time …

Objective This study proposed a moving average (MA) approach to dynamically process
heart rate variability (HRV) and developed aberrant driving behavior (ADB) prediction …

Information storage, reflecting the capability of a dynamical system to keep predictable
information during its evolution over time, is a key element of intrinsic distributed …

Many sleep centres try to perform a reduced portable test in order to decrease the number of
overnight polysomnographies that are expensive, time-consuming, and disturbing. With …

In this paper, we propose a hybrid method called sliding-window amplitude-based
dispersion entropy, which combines dispersion entropy with sliding-window amplitude, to …

Hydrological time series are sometimes found to have a distinctive behavior known as long-
term persistence, in which subsequent values depend on each other even under very large …

In the last decade, several HRV based novel methodologies for describing and assessing
heart rate dynamics have been proposed in the literature with the aim of risk assessment …

The rhythm of the human heart is influenced by the nervous system and certain feedback
mechanisms inducing variability to it. This heart rate variation (HRV) is reflected in the data …

It is a crucial topic to identify the cross-correlations between time series in multivariate
systems. In this paper, we extend the detrended cross-correlation analysis (DCCA) into the …

A method based on multi-scale permuted distribution Cumulative Tsallis entropy (MPDCTE)
is proposed in this paper to measure the complexity and dissimilarity between sequences. It …