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

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Additional Information:	6145/38063
Uncontrolled Keywords:	ASD ;EEG; relative source temporal features; classification
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Prof Abdul Wahab Abdul Rahman
Date Deposited:	08 Sep 2014 15:19
Last Modified:	17 Dec 2020 01:12
URI:	http://irep.iium.edu.my/id/eprint/38063

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