Detecting learning disabilities based on neuro-physiological interface of affect (NPIoA)

Mat Razi, Nurul Izzati and Abdul Rahman, Abdul Wahab and Kamaruddin, Norhaslinda (2020) Detecting learning disabilities based on neuro-physiological interface of affect (NPIoA). Indonesian Journal of Electrical Engineering and Computer Science, 19 (1). pp. 163-170. ISSN 2502-4752 E-ISSN 2502-4760

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Abstract

Learning disability (LD) is a neurological processing disorder that causes impediment in processing and understanding information. LD is not only affecting academic performance but can also influence on relationship with family, friends and colleagues. Hence, it is important to detect the learning disabilities among children prior to the school year to avoid from anxiety, bully and other social problems. This research aims to implement the learning disabilities detection based on the emotions captured from electroencephalogram (EEG) to recognize the symptoms of Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorder (ADHD) and dyslexia in order to have early diagnosis and assisting the clinician evaluation. The results show several symptoms that ASD children have low alpha power with the Alpha-Beta Test (ABT) power ratio and ASD U-shaped graph, ADHD children have high Theta-Beta Test (TBT) power ratio while Dyslexia have high Left-over-Right Theta (LRT) power ratio. This can be concluded that the learning disabilities detection methods proposed in this study is applicable for ASD, ADHD and also Dyslexia diagnosis.

Item Type:	Article (Journal)
Additional Information:	6145/80698
Uncontrolled Keywords:	Brain signal, Electroencephalogram, Emotion, Learning disability Machine learning
Subjects:	Q Science > Q Science (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:	04 Jun 2020 15:08
Last Modified:	10 Nov 2020 16:10
URI:	http://irep.iium.edu.my/id/eprint/80698

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