scholarly journals Electroencephalograms multiscale entropy analysis of Alzheimer's disease patients

2006 ◽  
Author(s):  
J. Escudero ◽  
D. Abasolo ◽  
R. Hornero ◽  
P. Espino ◽  
M. Lopez
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Multiscale Entropy ◽  
Entropy Analysis

scholarly journals Altered complexity of resting-state BOLD activity in Alzheimer’s disease-related neurodegeneration: a multiscale entropy analysis

Aging ◽  
2020 ◽  
Vol 12 (13) ◽  
pp. 13571-13582
Author(s):  
Ping Ren ◽  
Manxiu Ma ◽  
Guohua Xie ◽  
Zhiwei Wu ◽  
Donghui Wu ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Resting State ◽  
Multiscale Entropy ◽  
Entropy Analysis

scholarly journals Identification of Electroencephalogram Signals in Alzheimer's Disease by Multifractal and Multiscale Entropy Analysis

2021 ◽  
Vol 15 ◽  
Author(s):  
Momo Ando ◽  
Sou Nobukawa ◽  
Mitsuru Kikuchi ◽  
Tetsuya Takahashi
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Early Diagnosis ◽  
Multifractal Analysis ◽  
Multiscale Entropy ◽  
Diagnostic Tools ◽  
Eeg Signal ◽  
Entropy Analysis ◽  
Fractal Analyses ◽  
Diagnostic Index

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 reported that early diagnosis of AD and early intervention significantly delays disease progression. Hence, early diagnosis and intervention are emphasized. As a diagnostic index for AD patients, evaluating the complexity of the dependence of the electroencephalography (EEG) signal on the temporal scale of Alzheimer's disease (AD) patients is effective. Multiscale entropy analysis and multifractal analysis have been performed individually, and their usefulness as diagnostic indicators has been confirmed, but the complemental relationship between these analyses, which may enhance diagnostic accuracy, has not been investigated. We hypothesize that combining multiscale entropy and fractal analyses may add another dimension to understanding the alteration of EEG dynamics in AD. In this study, we performed both multiscale entropy and multifractal analyses on EEGs from AD patients and healthy subjects. We found that the classification accuracy was improved using both techniques. These findings suggest that the use of multiscale entropy analysis and multifractal analysis may lead to the development of AD diagnostic tools.

scholarly journals Univariate and Multivariate Generalized Multiscale Entropy to Characterise EEG Signals in Alzheimer’s Disease

Entropy ◽  
2017 ◽  
Vol 19 (1) ◽  
pp. 31 ◽  
Author(s):  
Hamed Azami ◽  
Daniel Abásolo ◽  
Samantha Simons ◽  
Javier Escudero
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Multiscale Entropy ◽  
Eeg Signals
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