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...

Full description

Saved in:

Bibliographic Details
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
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.17006
record_format	uketd_dc
spelling	my-utm-ep.170062018-06-25T09:00:06Z Theoretical foundation for digital space of flat electroencephalogram 2009 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 http://eprints.utm.my/id/eprint/17006/ http://eprints.utm.my/id/eprint/17006/1/NazihahAhmadPFSA2009.pdf application/pdf en public phd doctoral Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
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
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
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
granting_institution	Universiti Teknologi Malaysia, Faculty of Science
granting_department	Faculty of Science
publishDate	2009
url	http://eprints.utm.my/id/eprint/17006/1/NazihahAhmadPFSA2009.pdf
_version_	1747815139112910848

Theoretical foundation for digital space of flat electroencephalogram

Similar Items