Enhancement of filter design and EEG power ratio features in IQ pattern analysis / N. H. R. Azamin ...[et al.]
Power ratio is an established electroencephalogram (EEG) feature that has been used to study cognitive performance. Essentially, the technique computes the normalized power for each of the brainwave components prior to pattern analysis. The method however, is subject to further improvement as previo...
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UiTM Press
2017
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| Online Access: | https://ir.uitm.edu.my/id/eprint/63014/1/63014.pdf https://ir.uitm.edu.my/id/eprint/63014/ https://jeesr.uitm.edu.my/v1/ |
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| author | Azamin, N. H. R. Jahidin, A. H. Megat Ali, M. S. A. Taib, M. N. |
| author_facet | Azamin, N. H. R. Jahidin, A. H. Megat Ali, M. S. A. Taib, M. N. |
| author_sort | Azamin, N. H. R. |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Power ratio is an established electroencephalogram (EEG) feature that has been used to study cognitive performance. Essentially, the technique computes the normalized power for each of the brainwave components prior to pattern analysis. The method however, is subject to further improvement as previous
pre-processing approach rely on low-order filter designs. As a result, the obtained features are less accurate due to the presence of spectral leakages within the pre-processing element. Hence, this paper propose an improved extraction algorithm based on the use of high-order equiripple filters. Pre-existing intelligence quotient data are acquired from 50 samples and their EEG is recorded from the left pre-frontal cortex. The power ratio features are obtained from the energy spectral density of theta, alpha and beta bands. While results maintain conformity with the Neural Efficiency Hypothesis of human intelligence, comparative study shows that with equiripple filters, the revised power ratio is more suitable for IQ pattern analysis. |
| format | Article |
| id | my.uitm.ir-63014 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2017 |
| publisher | UiTM Press |
| record_format | eprints |
| spelling | my.uitm.ir-630142025-08-05T07:38:51Z https://ir.uitm.edu.my/id/eprint/63014/ Enhancement of filter design and EEG power ratio features in IQ pattern analysis / N. H. R. Azamin ...[et al.] jeesr Azamin, N. H. R. Jahidin, A. H. Megat Ali, M. S. A. Taib, M. N. Microelectromechanical systems Power ratio is an established electroencephalogram (EEG) feature that has been used to study cognitive performance. Essentially, the technique computes the normalized power for each of the brainwave components prior to pattern analysis. The method however, is subject to further improvement as previous pre-processing approach rely on low-order filter designs. As a result, the obtained features are less accurate due to the presence of spectral leakages within the pre-processing element. Hence, this paper propose an improved extraction algorithm based on the use of high-order equiripple filters. Pre-existing intelligence quotient data are acquired from 50 samples and their EEG is recorded from the left pre-frontal cortex. The power ratio features are obtained from the energy spectral density of theta, alpha and beta bands. While results maintain conformity with the Neural Efficiency Hypothesis of human intelligence, comparative study shows that with equiripple filters, the revised power ratio is more suitable for IQ pattern analysis. UiTM Press 2017-12 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/63014/1/63014.pdf Azamin, N. H. R. and Jahidin, A. H. and Megat Ali, M. S. A. and Taib, M. N. (2017) Enhancement of filter design and EEG power ratio features in IQ pattern analysis / N. H. R. Azamin ...[et al.]. (2017) Journal of Electrical and Electronic Systems Research (JEESR) <https://ir.uitm.edu.my/view/publication/Journal_of_Electrical_and_Electronic_Systems_Research_=28JEESR=29.html>, 11 (1): 7. pp. 38-44. ISSN 1985-5389 https://jeesr.uitm.edu.my/v1/ |
| spellingShingle | Microelectromechanical systems Azamin, N. H. R. Jahidin, A. H. Megat Ali, M. S. A. Taib, M. N. Enhancement of filter design and EEG power ratio features in IQ pattern analysis / N. H. R. Azamin ...[et al.] |
| title | Enhancement of filter design and EEG power ratio features in IQ pattern analysis / N. H. R. Azamin ...[et al.] |
| title_full | Enhancement of filter design and EEG power ratio features in IQ pattern analysis / N. H. R. Azamin ...[et al.] |
| title_fullStr | Enhancement of filter design and EEG power ratio features in IQ pattern analysis / N. H. R. Azamin ...[et al.] |
| title_full_unstemmed | Enhancement of filter design and EEG power ratio features in IQ pattern analysis / N. H. R. Azamin ...[et al.] |
| title_short | Enhancement of filter design and EEG power ratio features in IQ pattern analysis / N. H. R. Azamin ...[et al.] |
| title_sort | enhancement of filter design and eeg power ratio features in iq pattern analysis / n. h. r. azamin ...[et al.] |
| topic | Microelectromechanical systems |
| url | https://ir.uitm.edu.my/id/eprint/63014/1/63014.pdf https://ir.uitm.edu.my/id/eprint/63014/ https://jeesr.uitm.edu.my/v1/ |
| url_provider | http://ir.uitm.edu.my/ |