A Review of Methods of Diagnosis and Complexity Analysis of Alzheimer’s Disease Using EEG Signals

This study will concentrate on recent research on EEG signals for Alzheimer’s diagnosis, identifying and comparing key steps of EEG-based Alzheimer’s disease (AD) detection, such as EEG signal acquisition, preprocessing function extraction, and classification methods. Furthermore, highlighting gener...

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Autores principales:	Mahshad Ouchani, Shahriar Gharibzadeh, Mahdieh Jamshidi, Morteza Amini
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine R
Acceso en línea:	https://doaj.org/article/f0e1024f60fc44f68d67bb1306b70b45
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spelling	oai:doaj.org-article:f0e1024f60fc44f68d67bb1306b70b452021-11-08T02:36:26ZA Review of Methods of Diagnosis and Complexity Analysis of Alzheimer’s Disease Using EEG Signals2314-614110.1155/2021/5425569https://doaj.org/article/f0e1024f60fc44f68d67bb1306b70b452021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5425569https://doaj.org/toc/2314-6141This study will concentrate on recent research on EEG signals for Alzheimer’s diagnosis, identifying and comparing key steps of EEG-based Alzheimer’s disease (AD) detection, such as EEG signal acquisition, preprocessing function extraction, and classification methods. Furthermore, highlighting general approaches, variations, and agreement in the use of EEG identified shortcomings and guidelines for multiple experimental stages ranging from demographic characteristics to outcomes monitoring for future research. Two main targets have been defined based on the article’s purpose: (1) discriminative (or detection), i.e., look for differences in EEG-based features across groups, such as MCI, moderate Alzheimer’s disease, extreme Alzheimer’s disease, other forms of dementia, and stable normal elderly controls; and (2) progression determination, i.e., look for correlations between EEG-based features and clinical markers linked to MCI-to-AD conversion and Alzheimer’s disease intensity progression. Limitations mentioned in the reviewed papers were also gathered and explored in this study, with the goal of gaining a better understanding of the problems that need to be addressed in order to advance the use of EEG in Alzheimer’s disease science.Mahshad OuchaniShahriar GharibzadehMahdieh JamshidiMorteza AminiHindawi LimitedarticleMedicineRENBioMed Research International, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R
spellingShingle	Medicine R Mahshad Ouchani Shahriar Gharibzadeh Mahdieh Jamshidi Morteza Amini A Review of Methods of Diagnosis and Complexity Analysis of Alzheimer’s Disease Using EEG Signals
description	This study will concentrate on recent research on EEG signals for Alzheimer’s diagnosis, identifying and comparing key steps of EEG-based Alzheimer’s disease (AD) detection, such as EEG signal acquisition, preprocessing function extraction, and classification methods. Furthermore, highlighting general approaches, variations, and agreement in the use of EEG identified shortcomings and guidelines for multiple experimental stages ranging from demographic characteristics to outcomes monitoring for future research. Two main targets have been defined based on the article’s purpose: (1) discriminative (or detection), i.e., look for differences in EEG-based features across groups, such as MCI, moderate Alzheimer’s disease, extreme Alzheimer’s disease, other forms of dementia, and stable normal elderly controls; and (2) progression determination, i.e., look for correlations between EEG-based features and clinical markers linked to MCI-to-AD conversion and Alzheimer’s disease intensity progression. Limitations mentioned in the reviewed papers were also gathered and explored in this study, with the goal of gaining a better understanding of the problems that need to be addressed in order to advance the use of EEG in Alzheimer’s disease science.
format	article
author	Mahshad Ouchani Shahriar Gharibzadeh Mahdieh Jamshidi Morteza Amini
author_facet	Mahshad Ouchani Shahriar Gharibzadeh Mahdieh Jamshidi Morteza Amini
author_sort	Mahshad Ouchani
title	A Review of Methods of Diagnosis and Complexity Analysis of Alzheimer’s Disease Using EEG Signals
title_short	A Review of Methods of Diagnosis and Complexity Analysis of Alzheimer’s Disease Using EEG Signals
title_full	A Review of Methods of Diagnosis and Complexity Analysis of Alzheimer’s Disease Using EEG Signals
title_fullStr	A Review of Methods of Diagnosis and Complexity Analysis of Alzheimer’s Disease Using EEG Signals
title_full_unstemmed	A Review of Methods of Diagnosis and Complexity Analysis of Alzheimer’s Disease Using EEG Signals
title_sort	review of methods of diagnosis and complexity analysis of alzheimer’s disease using eeg signals
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/f0e1024f60fc44f68d67bb1306b70b45
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A Review of Methods of Diagnosis and Complexity Analysis of Alzheimer’s Disease Using EEG Signals

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