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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my.iium.irep.380632020-12-16T17:12:33Z 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 |
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T Technology (General) Shams, Wafaa Khazaal Abdul Rahman, Abdul Wahab Source-temporal-features for dtection EEG behavior of autism spectrum disorder |
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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/38063/1/Source-Temporal-Features_for_Detection_EEG_behavior_of_Autism_Spectrum_Disorder.pdf http://irep.iium.edu.my/38063/ http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6518913 |
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