Ahmad Fuad, A. A. and Ahmad, T. (2019) The decomposition of electroencephalography signals during epileptic seizure. In: Proceedings of the International Conference on Mathematical Sciences and Technology 2018 (MATHTECH2018): Innovative Technologies for Mathematics & Mathematics for Technological Innovation, 10-12 Dec 2018, Penang, Malaysia.
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Official URL: http://www.dx.doi.org/10.1063/1.5136478
Abstract
This paper describes how elementary electroencephalography (EEG) signals can be decomposed by using Jordan-Chevalley decomposition theorem. Recorded EEG signals on a patient during a seizure are transformed into a set of matrices. Each of these matrices is decomposed into its elementary components using Krohn-Rhodes decomposition theorem. Finally, these components are decomposed further into their respective semisimple and nilpotent parts. These parts are the extended building blocks of the elementary EEG signals.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | elementary electroencephalography (EEG, Jordan-Chevalley decomposition theorem |
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Science |
| ID Code: | 91728 |
| Deposited By: | Narimah Nawil |
| Deposited On: | 27 Jul 2021 06:23 |
| Last Modified: | 27 Jul 2021 06:23 |
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