Cross-entropy was introduced in 1996 to quantify the degree of asynchronism between two
time series. In 2009, a multiscale cross-entropy measure was proposed to analyze the …

Background Dysautonomia plays an ancillary role in the pathogenesis of Chronic Chagas
Cardiomyopathy (CCC), but is the key factor causing digestive organic involvement. We …

Complexity measures are used in a number of applications including extraction of
information from data such as ecological time series, detection of non-random structure in …

This study's aim is to analyze heart rate dynamics in subjects with diabetes by measures of
heart rate variability (HRV). The correlation of chaotic global parameters in the two cohorts is …

Aims This study used entropy-and cross entropy-based methods to explore the
cardiorespiratory coupling of depressive patients, and thus to assess the values of those …

This paper investigates the complexity of soil radon time series (RTS) recorded from March
2017 to April 2018 in Pakistan via RTM 1688-2 monitor, in direct linkage to parallel series of …

Age and age-related diseases have been suggested to decrease entropy of human gait
kinematics, which is thought to make older adults more susceptible to falls. In this study we …

Physiologic complexity is an important concept to characterize time series from biological
systems, which associated to multiscale analysis can contribute to comprehension of many …

Recent years have witnessed the development of visibility graph theory, which allows us to
analyze a time series from the perspective of complex network. We in this paper develop a …

Efficient and robust synchronization estimation, namely refined cross-sample entropy
(RCSE) measure, is presented in this study to analyze complex time series. Unlike the …