Research Article | OPEN ACCESS
Group Complexity for Semigroup of Electroencephalography Signals during Epileptic Seizure
1Ameen Omar Ali Barja, 1Tahir Bin Ahmad and 2Faisal Abdurabu Mubarak Binjadhnan
1Department of Mathematical Science and Ibnu Sina Institute for Fundamental Science Studies, Nanotechnology Research Alliance, Faculty of Science, Universiti Teknologi Malaysia,
Skudai 81310, Johor, Malaysia
2Department of Mathematics, Faculty of Science, Hadhramout University, Mukalla 50511, Yemen
Research Journal of Applied Sciences, Engineering and Technology 2015 2:150-157
Received: March 19, 2015 | Accepted: April 1, 2015 | Published: September 15, 2015
Abstract
Electroencephalography (EEG) signals during epileptic seizure can be viewed as a semigroup of upper triangular matrices under matrix multiplication. In this study, we will provide a novel algebraic structure for EEG signals during epileptic seizure and then find out the group complexity. In this case, the novel structure of EEG signals during seizure is investigated for potential and Average Potential Differences (APD).
Keywords:
Electroencephalography, group complexity, semigroup,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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