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Theoretical foundation for digital space of flat electroencephalogram

Epilepsy is one of the most common disorders of the brain characterized by recurrent seizures. Epileptic seizure, which is caused by abnormal electrical activity in brain can be measured by using Magnetoencephalogram (MEG) and Electroencephalogram (EEG). MEG measures magnetic field whereas EEG measu...

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Main Author: Ahmad, Nazihah
Format: Thesis
Language:English
Published: 2009
Subjects:
R Medicine (General)
Online Access:http://eprints.utm.my/id/eprint/17006/1/NazihahAhmadPFSA2009.pdf
http://eprints.utm.my/id/eprint/17006/
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spelling my.utm.170062018-06-25T09:00:06Z http://eprints.utm.my/id/eprint/17006/ Theoretical foundation for digital space of flat electroencephalogram Ahmad, Nazihah R Medicine (General) Epilepsy is one of the most common disorders of the brain characterized by recurrent seizures. Epileptic seizure, which is caused by abnormal electrical activity in brain can be measured by using Magnetoencephalogram (MEG) and Electroencephalogram (EEG). MEG measures magnetic field whereas EEG measures electrical potential during seizure. Fuzzy Topographic Topological Mapping (FTTM) is a mathematical model for solving neuromagnetic inverse problem. The model was developed to accommodate static simulated and experimental MEG signals and their transformed image. However, in this thesis, digital topology is adopted for FTTM, in particular with Khalimsky topology where the actual structure of digital objects can be visualized. The new construction is called FTTM digital and is denoted as FTTMdig. All four components of FTTMdig are shown to be homeomorphic as in the older versions of FTTM. In addition, real time recorded EEG signal during epileptic seizure is constructed to be topological space by inducing on metric space. Finally, this topological space of real time recorded EEG signal is incorporated with FTTMdig via relational topology. The integration of these two topologies is the key to the foundation of the novel Flat EEG. 2009 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/17006/1/NazihahAhmadPFSA2009.pdf Ahmad, Nazihah (2009) Theoretical foundation for digital space of flat electroencephalogram. PhD thesis, Universiti Teknologi Malaysia, Faculty of Science.
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/
language English
topic R Medicine (General)
spellingShingle R Medicine (General)
Ahmad, Nazihah
Theoretical foundation for digital space of flat electroencephalogram
description Epilepsy is one of the most common disorders of the brain characterized by recurrent seizures. Epileptic seizure, which is caused by abnormal electrical activity in brain can be measured by using Magnetoencephalogram (MEG) and Electroencephalogram (EEG). MEG measures magnetic field whereas EEG measures electrical potential during seizure. Fuzzy Topographic Topological Mapping (FTTM) is a mathematical model for solving neuromagnetic inverse problem. The model was developed to accommodate static simulated and experimental MEG signals and their transformed image. However, in this thesis, digital topology is adopted for FTTM, in particular with Khalimsky topology where the actual structure of digital objects can be visualized. The new construction is called FTTM digital and is denoted as FTTMdig. All four components of FTTMdig are shown to be homeomorphic as in the older versions of FTTM. In addition, real time recorded EEG signal during epileptic seizure is constructed to be topological space by inducing on metric space. Finally, this topological space of real time recorded EEG signal is incorporated with FTTMdig via relational topology. The integration of these two topologies is the key to the foundation of the novel Flat EEG.
format Thesis
author Ahmad, Nazihah
author_facet Ahmad, Nazihah
author_sort Ahmad, Nazihah
title Theoretical foundation for digital space of flat electroencephalogram
title_short Theoretical foundation for digital space of flat electroencephalogram
title_full Theoretical foundation for digital space of flat electroencephalogram
title_fullStr Theoretical foundation for digital space of flat electroencephalogram
title_full_unstemmed Theoretical foundation for digital space of flat electroencephalogram
title_sort theoretical foundation for digital space of flat electroencephalogram
publishDate 2009
url http://eprints.utm.my/id/eprint/17006/1/NazihahAhmadPFSA2009.pdf
http://eprints.utm.my/id/eprint/17006/
_version_ 1643646701772210176
score 13.211869

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