Evaluation of EEG Signal in Autism Disorder with ICA Analysis

Rashidi, Mohammad; Behnam, Hamid; Sheikhani, Ali; Mohammadi, Mohammad Reza; Norouzian, Maryam

doi:10.22041/ijbme.2010.13295

Document Type : Full Research Paper

Authors

¹ M.Sc Graduated, Bioelectric Group, School of Biomedical Engineering, Science and Research Branch, Islamic Azad University

² Assistant Professor, Biomedical Engineering Group, School of Electrical Engineering, Iran University of Science and Technology

³ Assistant Professor, Bioelectric Group, School of Biomedical Engineering, Science and Research Branch, Islamic Azad University

⁴ Professor, Psychological Research center, Roozbeh Hospital, Medical Science University of Teharn

⁵ Associate Professor, Psychological Research center, Roozbeh Hospital, Medical Science University of Teharn

10.22041/ijbme.2010.13295

Abstract

This paper presents ICA analysis application for detection of autism disorder. In the first step, resources of EEG signals were extracted by ICA and then time domain and frequency domain processing were implemented. EEG signals of ten children with autism and ten healthy children aged 6 to 11 years have been obtained. The results have been compared statistically by T-test. Lower correlation levels between resources of the left hemisphere of the brain especially C3 channel region in autistic children compared with healthy subjects have been observed. Also the average energy of theta frequency band in C3 and F3 channels for children with autism were lower than that in healthy people and this criterion was higher in gamma frequency band.

Keywords

Main Subjects

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing

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Iranian Journal of Biomedical Engineering

Evaluation of EEG Signal in Autism Disorder with ICA Analysis

References

References

Volume 4, Issue 3 - Serial Number 3
June 2010
Pages 187-194

Evaluation of EEG Signal in Autism Disorder with ICA Analysis

References

References

Volume 4, Issue 3 - Serial Number 3June 2010Pages 187-194

Volume 4, Issue 3 - Serial Number 3
June 2010
Pages 187-194