Universiti Teknologi Malaysia Institutional Repository

The decomposition of electroencephalography signals during epileptic seizure

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


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
ID Code:91728
Deposited By: Narimah Nawil
Deposited On:27 Jul 2021 14:23
Last Modified:27 Jul 2021 14:23

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