Resting state electroencephalogram in autism spectrum disorder identification based on neuro-physiological interface of affect (NPIA) modelling

Mat Razi, Nurul Izzati and Abdul Rahman, Abdul Wahab and Kamaruddin, Norhaslinda (2019) Resting state electroencephalogram in autism spectrum disorder identification based on neuro-physiological interface of affect (NPIA) modelling. Journal of Computational and Theoretical Nanoscience, 16 (3). pp. 1190-1195. ISSN 15461955 (In Press)

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Abstract

Children with autism spectrum disorder (ASD) is likely to have repetitive and restricted repertoire in its behaviors, activities and interests. Early detection and intervention of ASD can help these children to lead an almost normal life. Thus it is important to ensure that early detection of such ASD preschoolers can be carried out. The brain connectivity of ASD can be achieved better by capturing and analyzing through the EEG and machine learning. In this paper we presented both the time domain approach, which were used by most researchers to identify ASD and also the neuro-physiological interface of affect (NPIA) at resting state. There seems to be consistency in results based on the NPIA at resting state for eyes opened and eyes closed while using time domain approach shows otherwise. Therefore, both models can be used to have a better accuracy in diagnosing an ASD. Future works also can have the NPIA model approaches on the other learning disabilities.

Item Type:	Article (Journal)
Additional Information:	6145/76124
Uncontrolled Keywords:	ffect Model; Autism Spectrum Disorder (ASD); Electroencephalogram (EEG); Learning Disability
Subjects:	R Medicine > RC Internal medicine
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:	03 Jul 2020 15:28
Last Modified:	03 Jul 2020 15:28
URI:	http://irep.iium.edu.my/id/eprint/76124

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