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.

Full text not available from this repository.

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

Repository Staff Only: item control page