Complexity may be one of the most important measurements for analysing time series data;
it covers or is at least closely related to different data characteristics within nonlinear system …

Atrial Fibrillation (AF) is the most common cardiac rhythm disorder seen in hospitals and in
general practice, accounting for up to a third of arrhythmia related hospitalizations …

Background Entropy analysis is a computational method used to quantify the complexity in a
system, and loss of brain complexity is hypothesized to be related to mental disorders. Here …

Sažetak Recently, detection and prediction on driver fatigue have become interest of
research worldwide. In the present work, a new method is built to effectively evaluate driver …

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia encountered in
clinical practice. Radiofrequency catheter ablation (CA) is increasingly employed to treat this …

Diaphragm electromyography is a valuable technique for the recording of electrical activity
of the diaphragm. The analysis of diaphragm electromyographic (EMGdi) signal amplitude is …

This study focuses on investigating the chaotic and multifractal behavior of atmospheric time
series of solar radiation (solar), maximum temperature (Tmax), and minimum temperature …

This paper presents a novel expert system based on electroencephalogram (EEG) and
demonstrates the process of knowledge acquisition and inference. As we known, the …

Many physiological systems are paradigmatic examples of complex networks, displaying
behaviors best studied by means of tools derived from nonlinear dynamics and fractal …

Entropy estimation metrics have become a widely used method to identify subtle changes or
hidden features in biomedical records. These methods have been more effective than …