Characterizing autistic disorder based on principle component analysis

Autism is often diagnosed during preschool or toddled age. This diagnosis often depends on behavioral test. It is known that individuals with autism have abnormal brain signals different from typical persons yet this difference in signals is slight that it is often difficult to distinguish from the...

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Main Authors:	Shams, Wafa Khazal, Abdul Rahman, Abdul Wahab
Format:	Article
Language:	English
Published:	INSI Publications 2012
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/22986/ http://irep.iium.edu.my/22986/ http://irep.iium.edu.my/22986/1/Characterizing_autistic_disorder_based_on_principle_component_analysis.pdf

id	iium-22986
recordtype	eprints
spelling	iium-229862012-06-15T02:35:29Z http://irep.iium.edu.my/22986/ Characterizing autistic disorder based on principle component analysis Shams, Wafa Khazal Abdul Rahman, Abdul Wahab QA75 Electronic computers. Computer science Autism is often diagnosed during preschool or toddled age. This diagnosis often depends on behavioral test. It is known that individuals with autism have abnormal brain signals different from typical persons yet this difference in signals is slight that it is often difficult to distinguish from the normal. However, Electroencephalogram (EEG) signals have a lot of information which reflect the behavior of brain functions which therefore captures the marker for autism, help to early diagnose and speed the treatment. This work investigates and compares classification process for autism in open eyed tasks and motor movement by using Principle Component Analysis (PCA) for feature extracted in Time-frequency domain to reduce data dimension. The results show that the proposed method gives accuracy in the range 90-100% for autism and normal children in motor task and around 90% to detect normal in open-eyed tasks though difficult to detect autism in this task. INSI Publications 2012-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/22986/1/Characterizing_autistic_disorder_based_on_principle_component_analysis.pdf Shams, Wafa Khazal and Abdul Rahman, Abdul Wahab (2012) Characterizing autistic disorder based on principle component analysis. Australian Journal of Basic and Applied Sciences, 6 (1). pp. 149-155. ISSN 1991-8178 http://www.insipub.com/ajbas/2012/January/149-155.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Shams, Wafa Khazal Abdul Rahman, Abdul Wahab Characterizing autistic disorder based on principle component analysis
description	Autism is often diagnosed during preschool or toddled age. This diagnosis often depends on behavioral test. It is known that individuals with autism have abnormal brain signals different from typical persons yet this difference in signals is slight that it is often difficult to distinguish from the normal. However, Electroencephalogram (EEG) signals have a lot of information which reflect the behavior of brain functions which therefore captures the marker for autism, help to early diagnose and speed the treatment. This work investigates and compares classification process for autism in open eyed tasks and motor movement by using Principle Component Analysis (PCA) for feature extracted in Time-frequency domain to reduce data dimension. The results show that the proposed method gives accuracy in the range 90-100% for autism and normal children in motor task and around 90% to detect normal in open-eyed tasks though difficult to detect autism in this task.
format	Article
author	Shams, Wafa Khazal Abdul Rahman, Abdul Wahab
author_facet	Shams, Wafa Khazal Abdul Rahman, Abdul Wahab
author_sort	Shams, Wafa Khazal
title	Characterizing autistic disorder based on principle component analysis
title_short	Characterizing autistic disorder based on principle component analysis
title_full	Characterizing autistic disorder based on principle component analysis
title_fullStr	Characterizing autistic disorder based on principle component analysis
title_full_unstemmed	Characterizing autistic disorder based on principle component analysis
title_sort	characterizing autistic disorder based on principle component analysis
publisher	INSI Publications
publishDate	2012
url	http://irep.iium.edu.my/22986/ http://irep.iium.edu.my/22986/ http://irep.iium.edu.my/22986/1/Characterizing_autistic_disorder_based_on_principle_component_analysis.pdf
first_indexed	2023-09-18T20:34:52Z
last_indexed	2023-09-18T20:34:52Z
_version_	1777408978606620672

Characterizing autistic disorder based on principle component analysis

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