Source-temporal-features for dtection EEG behavior of autism spectrum disorder

This study introduces a new model to capture the abnormal brain activity of children with Autism Spectrum Disorder (ASD) during eyes open and eyes closed resting conditions. EEG data was collected from normal subjects' ages (4 to 9) years and ASD subjects match group. Time Difference of Arrival...

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Main Authors:	Shams, Wafaa Khazaal, Abdul Rahman, Abdul Wahab
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/38063/ http://irep.iium.edu.my/38063/ http://irep.iium.edu.my/38063/1/Source-Temporal-Features_for_Detection_EEG_behavior_of_Autism_Spectrum_Disorder.pdf

id	iium-38063
recordtype	eprints
spelling	iium-380632014-09-08T07:20:11Z http://irep.iium.edu.my/38063/ Source-temporal-features for dtection EEG behavior of autism spectrum disorder Shams, Wafaa Khazaal Abdul Rahman, Abdul Wahab T Technology (General) This study introduces a new model to capture the abnormal brain activity of children with Autism Spectrum Disorder (ASD) during eyes open and eyes closed resting conditions. EEG data was collected from normal subjects' ages (4 to 9) years and ASD subjects match group. Time Difference of Arrival (TDOA) approach was applied with EEG data raw for feature extracted at time domain. The neural network, Multilayer Perception (MLP) was used to distinguish between the two groups during the two tasks. Results show significant accuracy around 98% for both tasks and clearly discriminate for the features in z-dimension his electronic document is a "live" template and already defines the components of your paper [title, text, heads, etc.) in its style sheet. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/38063/1/Source-Temporal-Features_for_Detection_EEG_behavior_of_Autism_Spectrum_Disorder.pdf Shams, Wafaa Khazaal and Abdul Rahman, Abdul Wahab (2013) Source-temporal-features for dtection EEG behavior of autism spectrum disorder. In: 2013 5th International Conference on Information and Communication Technology for the Muslim World (ICT4M), 25th - 27th March 2013, Kuala Lumpur. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6518913
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Shams, Wafaa Khazaal Abdul Rahman, Abdul Wahab Source-temporal-features for dtection EEG behavior of autism spectrum disorder
description	This study introduces a new model to capture the abnormal brain activity of children with Autism Spectrum Disorder (ASD) during eyes open and eyes closed resting conditions. EEG data was collected from normal subjects' ages (4 to 9) years and ASD subjects match group. Time Difference of Arrival (TDOA) approach was applied with EEG data raw for feature extracted at time domain. The neural network, Multilayer Perception (MLP) was used to distinguish between the two groups during the two tasks. Results show significant accuracy around 98% for both tasks and clearly discriminate for the features in z-dimension his electronic document is a "live" template and already defines the components of your paper [title, text, heads, etc.) in its style sheet.
format	Conference or Workshop Item
author	Shams, Wafaa Khazaal Abdul Rahman, Abdul Wahab
author_facet	Shams, Wafaa Khazaal Abdul Rahman, Abdul Wahab
author_sort	Shams, Wafaa Khazaal
title	Source-temporal-features for dtection EEG behavior of autism spectrum disorder
title_short	Source-temporal-features for dtection EEG behavior of autism spectrum disorder
title_full	Source-temporal-features for dtection EEG behavior of autism spectrum disorder
title_fullStr	Source-temporal-features for dtection EEG behavior of autism spectrum disorder
title_full_unstemmed	Source-temporal-features for dtection EEG behavior of autism spectrum disorder
title_sort	source-temporal-features for dtection eeg behavior of autism spectrum disorder
publishDate	2013
url	http://irep.iium.edu.my/38063/ http://irep.iium.edu.my/38063/ http://irep.iium.edu.my/38063/1/Source-Temporal-Features_for_Detection_EEG_behavior_of_Autism_Spectrum_Disorder.pdf
first_indexed	2023-09-18T20:54:37Z
last_indexed	2023-09-18T20:54:37Z
_version_	1777410221522550784

Source-temporal-features for dtection EEG behavior of autism spectrum disorder

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