Alzheimer's disease (AD) is a frequently observed, irreversible brain function disorder
among elderly individuals. Resting-state functional magnetic resonance imaging (rs-fMRI) …

Quantification of complexity in neurophysiological signals has been studied using different
methods, especially those from information or dynamical system theory. These studies have …

Epilepsy is a chronic non-communicable disorder of the brain that affects individuals of all
ages. It is caused by a sudden abnormal discharge of brain neurons leading to temporary …

Permutation entropy (PE) has been widely exploited to measure the complexity of the
electroencephalogram (EEG), especially when complexity is linked to diagnostic information …

Many time series entropy calculation methods have been proposed in the last few years.
They are mainly used as numerical features for signal classification in any scientific field …

The automatic and accurate determination of the epileptogenic area can assist doctors in
presurgical evaluation by providing higher security and quality of life. Visual inspection of …

Sleep plays a substantial role in daily cognitive performance, mood, and memory. The study
of sleep has attracted the interest of neuroscientists, clinicians and the overall population …

There is considerable interest in analyzing the complexity of electroencephalography (EEG)
signals. However, some traditional complexity measure algorithms only quantify the …

Heart rate variability (HRV) analysis is a relevant tool for the diagnosis of cardiovascular
autonomic neuropathy (CAN). To our knowledge, no previous investigation on CAN has …

Slope Entropy (SlpEn) is a novel method recently proposed in the field of time series entropy
estimation. In addition to the well-known embedded dimension parameter, m, used in other …