Sleep is a physiological process involving different biological systems, from molecular to
organ level; its integrity is essential for maintaining health and homeostasis in human …

Sleep is divided into two main sleep stages:(1) non-rapid eye movement sleep (non-REMS),
characterized among others by reduced global brain activity; and (2) rapid eye movement …

Entropy measures are widely applied to quantify the complexity of dynamical systems in
diverse fields. However, the practical application of entropy methods is challenging, due to …

An alternative technique for sleep stages classification based on heart rate variability (HRV)
was presented in this paper. The simple subject specific scheme and a more practical …

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 …

Creating good adaptation policies is critical to building complex autonomic systems since it
is such policies that define the system configuration used in any given situation. While online …

A reliable non-invasive method to assess autonomic nervous system activity involves the
evaluation of the time course of heart rate variability (HRV). HRV may vary in accordance …

In this study, the physiological networks underlying the joint modulation of the
parasympathetic component of heart rate variability (HRV) and of the different …

The conventional method for sleep staging is to analyze polysomnograms (PSGs) recorded
in a sleep lab. The electroencephalogram (EEG) is one of the most important signals in …

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