Permutation Entropy (PE) is a cost effective tool for summarizing the complexity of a time
series. It has been used in many applications including damage detection, disease …

A physiological system encompasses numerous components that function at various time
scales. To characterize the scale-dependent feature, the multiscale entropy (MSE) analysis …

Schizophrenia (SZ) is a complex neuropsychiatric disorder affecting approximately 1% of the
global population. The early diagnosis of SZ, with electroencephalograph (EEG) signals …

As electrical activity in the brain has complex and dynamic properties, the complexity
measure permutation entropy (PeEn) has proven itself to reliably distinguish consciousness …

Entropy and time asymmetry are two intertwined aspects of a system's dynamics, with the
production of entropy marking a clear direction in the temporal dimension. In the last few …

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 aim of this study is to formulate a new methodology based upon informational tools to
detect patients with cardiac arrhythmias. As it is known, sudden death is the consequence of …

Maturation and ageing, which can be characterised by the dynamic changes in brain
morphology, can have an impact on the physiology of the brain. As such, it is possible that …

The characterisation of healthy ageing of the brain could help create a fingerprint of normal
ageing that might assist in the early diagnosis of neurodegenerative conditions. This study …

EEG monitoring during anesthesia or for diagnosing sleep disorders is a common standard.
Different approaches for measuring the important information of this biosignal are used. The …