Decomposing the Krohn-Rhodes Form of Electroencephalography (EEG) Signals Using Jordan-Chevalley Decomposition Technique

This paper explores how electroencephalography (EEG) signals in the Krohn-Rhodes form can be decomposed further using the Jordan-Chevalley decomposition technique. First, the recorded EEG signals of a seizure were transformed into a set of matrices. Each of these matrices was decomposed into its ele...

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Main Authors: Amirul Aizad Ahmad Fuad, Tahir Ahmad
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Axioms
Subjects:
Online Access:https://www.mdpi.com/2075-1680/10/1/10
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author Amirul Aizad Ahmad Fuad
Tahir Ahmad
author_facet Amirul Aizad Ahmad Fuad
Tahir Ahmad
author_sort Amirul Aizad Ahmad Fuad
collection DOAJ
description This paper explores how electroencephalography (EEG) signals in the Krohn-Rhodes form can be decomposed further using the Jordan-Chevalley decomposition technique. First, the recorded EEG signals of a seizure were transformed into a set of matrices. Each of these matrices was decomposed into its elementary components using the Krohn-Rhodes decomposition method. The components were then further decomposed into semisimple and nilpotent matrices using the Jordan-Chevalley decomposition. These matrices—which are the extended building blocks of elementary EEG signals—provide evidence that the EEG signals recorded during a seizure contain patterns similar to that of prime numbers.
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spelling doaj.art-2270a6c4f88f4ad1ada93e9e96a5b1dc2023-12-03T13:37:36ZengMDPI AGAxioms2075-16802021-01-011011010.3390/axioms10010010Decomposing the Krohn-Rhodes Form of Electroencephalography (EEG) Signals Using Jordan-Chevalley Decomposition TechniqueAmirul Aizad Ahmad Fuad0Tahir Ahmad1Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, Skudai 81310, MalaysiaDepartment of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, Skudai 81310, MalaysiaThis paper explores how electroencephalography (EEG) signals in the Krohn-Rhodes form can be decomposed further using the Jordan-Chevalley decomposition technique. First, the recorded EEG signals of a seizure were transformed into a set of matrices. Each of these matrices was decomposed into its elementary components using the Krohn-Rhodes decomposition method. The components were then further decomposed into semisimple and nilpotent matrices using the Jordan-Chevalley decomposition. These matrices—which are the extended building blocks of elementary EEG signals—provide evidence that the EEG signals recorded during a seizure contain patterns similar to that of prime numbers.https://www.mdpi.com/2075-1680/10/1/10Jordan-Chevalley decompositionKrohn-Rhodes decompositionelectroencephalography signals
spellingShingle Amirul Aizad Ahmad Fuad
Tahir Ahmad
Decomposing the Krohn-Rhodes Form of Electroencephalography (EEG) Signals Using Jordan-Chevalley Decomposition Technique
Axioms
Jordan-Chevalley decomposition
Krohn-Rhodes decomposition
electroencephalography signals
title Decomposing the Krohn-Rhodes Form of Electroencephalography (EEG) Signals Using Jordan-Chevalley Decomposition Technique
title_full Decomposing the Krohn-Rhodes Form of Electroencephalography (EEG) Signals Using Jordan-Chevalley Decomposition Technique
title_fullStr Decomposing the Krohn-Rhodes Form of Electroencephalography (EEG) Signals Using Jordan-Chevalley Decomposition Technique
title_full_unstemmed Decomposing the Krohn-Rhodes Form of Electroencephalography (EEG) Signals Using Jordan-Chevalley Decomposition Technique
title_short Decomposing the Krohn-Rhodes Form of Electroencephalography (EEG) Signals Using Jordan-Chevalley Decomposition Technique
title_sort decomposing the krohn rhodes form of electroencephalography eeg signals using jordan chevalley decomposition technique
topic Jordan-Chevalley decomposition
Krohn-Rhodes decomposition
electroencephalography signals
url https://www.mdpi.com/2075-1680/10/1/10
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AT tahirahmad decomposingthekrohnrhodesformofelectroencephalographyeegsignalsusingjordanchevalleydecompositiontechnique