The decomposition of electroencephalography signals during epileptic seizure

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 u...

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Main Authors: Ahmad Fuad, A. A., Ahmad, T.
Format: Conference or Workshop Item
Published: 2019
Subjects:
Online Access:http://eprints.utm.my/id/eprint/91728/
http://www.dx.doi.org/10.1063/1.5136478
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.917282021-07-27T06:23:47Z http://eprints.utm.my/id/eprint/91728/ The decomposition of electroencephalography signals during epileptic seizure Ahmad Fuad, A. A. Ahmad, T. QA Mathematics 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. 2019 Conference or Workshop Item PeerReviewed 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. http://www.dx.doi.org/10.1063/1.5136478
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA Mathematics
spellingShingle QA Mathematics
Ahmad Fuad, A. A.
Ahmad, T.
The decomposition of electroencephalography signals during epileptic seizure
description 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.
format Conference or Workshop Item
author Ahmad Fuad, A. A.
Ahmad, T.
author_facet Ahmad Fuad, A. A.
Ahmad, T.
author_sort Ahmad Fuad, A. A.
title The decomposition of electroencephalography signals during epileptic seizure
title_short The decomposition of electroencephalography signals during epileptic seizure
title_full The decomposition of electroencephalography signals during epileptic seizure
title_fullStr The decomposition of electroencephalography signals during epileptic seizure
title_full_unstemmed The decomposition of electroencephalography signals during epileptic seizure
title_sort decomposition of electroencephalography signals during epileptic seizure
publishDate 2019
url http://eprints.utm.my/id/eprint/91728/
http://www.dx.doi.org/10.1063/1.5136478
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