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

• 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/38063/1/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
• Institution: Universiti Islam Antarabangsa Malaysia

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.