Spatial analysis of signal during epileptic seizure on plat electroencephalography

The human brain is the most complex structure in the universe. It is made up of billions of nerve cells called neurons. Studies on human brain were started centuries ago whereby various diagnosis instruments and techniques have been developed to understand it. Epilepsy is the second most common brai...

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Main Author: Goh, Chien Yong
Format: Thesis
Language:English
Published: 2017
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Online Access:http://eprints.utm.my/id/eprint/84037/1/GohChienYongPFS2017.pdf
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spelling my-utm-ep.840372019-11-05T04:35:58Z Spatial analysis of signal during epileptic seizure on plat electroencephalography 2017-01 Goh, Chien Yong QA Mathematics The human brain is the most complex structure in the universe. It is made up of billions of nerve cells called neurons. Studies on human brain were started centuries ago whereby various diagnosis instruments and techniques have been developed to understand it. Epilepsy is the second most common brain disorder. Electroencephalogram (EEG) was invented and widely used for recording human brain electrical activities. It is considered as the best tool which has been used in epileptic analysis. However, the best visual inspection still highly relies on experienced electroencephalographers or neurophysiologists. Due to this restriction, extraction of the hidden information from EEG signal during epileptic seizure is important. In this work, a new spatial interaction model which is based on basic gravity model is developed and applied on flat Electroencephalography (fEEG). The model is used to study the interaction among clusters on fEEG. The images of these interactions are then verified and compared to interaction images of spherical domain model of charges in the brain. The strength of interaction force inside the spherical domain of charges’ path is calculated. The results showed that the interaction of the clusters are not directly proportional to distance, potential difference of cluster and size of cluster’s charge. This study concurs the chaotic behavior of epileptic seizure as advocated by Iasemidis and his fellow researchers. 2017-01 Thesis http://eprints.utm.my/id/eprint/84037/ http://eprints.utm.my/id/eprint/84037/1/GohChienYongPFS2017.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:111305 phd doctoral Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic QA Mathematics
spellingShingle QA Mathematics
Goh, Chien Yong
Spatial analysis of signal during epileptic seizure on plat electroencephalography
description The human brain is the most complex structure in the universe. It is made up of billions of nerve cells called neurons. Studies on human brain were started centuries ago whereby various diagnosis instruments and techniques have been developed to understand it. Epilepsy is the second most common brain disorder. Electroencephalogram (EEG) was invented and widely used for recording human brain electrical activities. It is considered as the best tool which has been used in epileptic analysis. However, the best visual inspection still highly relies on experienced electroencephalographers or neurophysiologists. Due to this restriction, extraction of the hidden information from EEG signal during epileptic seizure is important. In this work, a new spatial interaction model which is based on basic gravity model is developed and applied on flat Electroencephalography (fEEG). The model is used to study the interaction among clusters on fEEG. The images of these interactions are then verified and compared to interaction images of spherical domain model of charges in the brain. The strength of interaction force inside the spherical domain of charges’ path is calculated. The results showed that the interaction of the clusters are not directly proportional to distance, potential difference of cluster and size of cluster’s charge. This study concurs the chaotic behavior of epileptic seizure as advocated by Iasemidis and his fellow researchers.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Goh, Chien Yong
author_facet Goh, Chien Yong
author_sort Goh, Chien Yong
title Spatial analysis of signal during epileptic seizure on plat electroencephalography
title_short Spatial analysis of signal during epileptic seizure on plat electroencephalography
title_full Spatial analysis of signal during epileptic seizure on plat electroencephalography
title_fullStr Spatial analysis of signal during epileptic seizure on plat electroencephalography
title_full_unstemmed Spatial analysis of signal during epileptic seizure on plat electroencephalography
title_sort spatial analysis of signal during epileptic seizure on plat electroencephalography
granting_institution Universiti Teknologi Malaysia, Faculty of Science
granting_department Faculty of Science
publishDate 2017
url http://eprints.utm.my/id/eprint/84037/1/GohChienYongPFS2017.pdf
_version_ 1747818429990043648