The aim of this study was to analyse the electroencephalography (EEG) background activity
of 10 stroke-related patients with mild cognitive impairment (MCI) using spectral entropy …

The aim of the present study was to reveal markers from the electroencephalography (EEG)
using approximation entropy (ApEn) and permutation entropy (PerEn). EEGs' of 15 stroke …

The aim of the present study was to develop valuable and reliable indices of post-stroke
dementia particularly vascular dementia (VaD) using entropy-based features extracted from …

The aim of the this study was to reveal markers using spectral entropy (SpecEn), sample
entropy (SampEn) and Hurst Exponent (H) from the electroencephalography (EEG) …

Background: Mild cognitive impairment (MCI) is considered to be the borderline of cognitive
changes associated with aging and very early dementia. Cognitive functions in MCI can …

To assist effective and precise diagnosis for mild cognitive impairment (MCI) and
Alzheimer's disease (AD), Electroencephalograph (EEG) has been widely used in clinical …

One common type of vascular dementia (VaD) is poststroke dementia (PSD). Vascular
dementia can occur in one‐third of stroke patients. The worsening of cognitive function can …

Nonlinear analysis of electroencephalogram (EEG) activity can provide a better
understanding of brain signal dynamics during cognitive fatigue. The aim of this study was to …

Characterizing dementia is a global challenge in supporting personalized health care. The
electroencephalogram (EEG) is a promising tool to support the diagnosis and evaluation of …

Permutation Entropy (PE) statistic is a measure of self-similarity of the time series estimated
from its ordinal patterns. This measure is used to detect the dynamical differences between …