在此研究中, 我們試圖以渾沌(chaos) 理論為基礎, Sampling entropy 為方法, 來分阿滋海默症
Alzheimer's disease (AD) 不同時期的腦波複雜度, 以提供臨床新的客觀工具, 以利AD …

In this dissertation, we will develop the computational tools, on the basis of sampling
entropy, to evaluate different patterns of complexity activation of the electroencephalography …

China is the most populous country in the world, with a population of 1.3 billion, and the Han
comprising more than 90% of the population. Apart from various changes such as rapid …

The aim of the present study is to show the usefulness of nonlinear methods to analyse the
electroencephalogram (EEG) and magnetoencephalogram (MEG) in patients with …

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 …

Alzheimer's disease (AD) is the most common form of dementia and is a progressive
neurodegenerative disease that primarily develops in old age. In recent years, it has been …

Alzheimer's disease (AD) is the most common form of dementia. According to one
hypothesis, AD is caused by the reduced synthesis of the neurotransmitter acetylcholine …

Electroencephalography (EEG) is frequently used in functional neurological assessment of
children with neurological and neuropsychiatric disorders. Multiscale entropy (MSE) can …

The aim of the present study is to show the usefulness of nonlinear methods to analyse the
electroencephalogram (EEG) and magnetoencephalogram (MEG) in patients with …

Hypothesizing that analysis of electroencephalogram signals using nonlinear and
deterministic chaos theory may provide clinicians with information for medical diagnosis and …