Discretization of flat Electroencephalography (EEG) using a probability distribution for fuzzy topographic topological mapping (FTTM) application

The abnormality of the electrical activity in the brain during an epileptic seizure can be measured by using Electroencephalography (EEG) and Magnetoencephalography (MEG). Flat EEG is EEG data accurately translated to a two-dimensional plane. The probability of the Flat EEG signal centroid relocatin...

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Main Author:	Mohd. Hussain, Norhadhilah
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Q Science (General)
Online Access:	http://eprints.utm.my/id/eprint/78916/1/NorhadhilahMohdHussainMFS2017.pdf
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spelling	my-utm-ep.789162018-09-17T07:23:10Z Discretization of flat Electroencephalography (EEG) using a probability distribution for fuzzy topographic topological mapping (FTTM) application 2017-04 Mohd. Hussain, Norhadhilah Q Science (General) The abnormality of the electrical activity in the brain during an epileptic seizure can be measured by using Electroencephalography (EEG) and Magnetoencephalography (MEG). Flat EEG is EEG data accurately translated to a two-dimensional plane. The probability of the Flat EEG signal centroid relocating to a different location of the brain after a time interval can be represented in matrix form. Then, the aim of this study is to discretize the Flat EEG plane for FTTM model application into the centered cells represented by matrices. This study also attempts to construct an algorithm for populating a matrix with probabilities that a Flat EEG centroid moves to another location. These objectives lead to the construction of a program for generating the matrix of probabilities, given a Flat EEG centroid and a vector representing the change of its location. Additionally, this study contributed to the programming techniques for generating Flat EEG matrix data. The Flat EEG plane containing signal centroids was discretized into centered cells and mapped to the entry of a matrix. The matrix of probabilities that a signal centroid moves to another location was constructed. Apart from that, an algorithm for populating the matrix of probabilities was also constructed. A program to generate the matrix of probabilities was constructed based on the algorithm for populating the matrix of probabilities. After that, the program for generating matrix of probabilities was implemented by computer programming using the Microsoft Visual Studio 2010 software. Thus, matrices of probabilities of size 5 X 5 and 15 X 15 were generated for time t = 0 to t = 1 with varying values of parameter for probability distribution, r. The matrix of larger size was also more precise which means the details were finer than the smaller sized matrix. Therefore, the constructed program for generating matrix of probabilities was able to describe the movement of the signal centroid to another location after the present time. The potential for added slices of Flat EEG data for another time was recommended for the future work of this study. 2017-04 Thesis http://eprints.utm.my/id/eprint/78916/ http://eprints.utm.my/id/eprint/78916/1/NorhadhilahMohdHussainMFS2017.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:108802 masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	Q Science (General)
spellingShingle	Q Science (General) Mohd. Hussain, Norhadhilah Discretization of flat Electroencephalography (EEG) using a probability distribution for fuzzy topographic topological mapping (FTTM) application
description	The abnormality of the electrical activity in the brain during an epileptic seizure can be measured by using Electroencephalography (EEG) and Magnetoencephalography (MEG). Flat EEG is EEG data accurately translated to a two-dimensional plane. The probability of the Flat EEG signal centroid relocating to a different location of the brain after a time interval can be represented in matrix form. Then, the aim of this study is to discretize the Flat EEG plane for FTTM model application into the centered cells represented by matrices. This study also attempts to construct an algorithm for populating a matrix with probabilities that a Flat EEG centroid moves to another location. These objectives lead to the construction of a program for generating the matrix of probabilities, given a Flat EEG centroid and a vector representing the change of its location. Additionally, this study contributed to the programming techniques for generating Flat EEG matrix data. The Flat EEG plane containing signal centroids was discretized into centered cells and mapped to the entry of a matrix. The matrix of probabilities that a signal centroid moves to another location was constructed. Apart from that, an algorithm for populating the matrix of probabilities was also constructed. A program to generate the matrix of probabilities was constructed based on the algorithm for populating the matrix of probabilities. After that, the program for generating matrix of probabilities was implemented by computer programming using the Microsoft Visual Studio 2010 software. Thus, matrices of probabilities of size 5 X 5 and 15 X 15 were generated for time t = 0 to t = 1 with varying values of parameter for probability distribution, r. The matrix of larger size was also more precise which means the details were finer than the smaller sized matrix. Therefore, the constructed program for generating matrix of probabilities was able to describe the movement of the signal centroid to another location after the present time. The potential for added slices of Flat EEG data for another time was recommended for the future work of this study.
format	Thesis
qualification_level	Master's degree
author	Mohd. Hussain, Norhadhilah
author_facet	Mohd. Hussain, Norhadhilah
author_sort	Mohd. Hussain, Norhadhilah
title	Discretization of flat Electroencephalography (EEG) using a probability distribution for fuzzy topographic topological mapping (FTTM) application
title_short	Discretization of flat Electroencephalography (EEG) using a probability distribution for fuzzy topographic topological mapping (FTTM) application
title_full	Discretization of flat Electroencephalography (EEG) using a probability distribution for fuzzy topographic topological mapping (FTTM) application
title_fullStr	Discretization of flat Electroencephalography (EEG) using a probability distribution for fuzzy topographic topological mapping (FTTM) application
title_full_unstemmed	Discretization of flat Electroencephalography (EEG) using a probability distribution for fuzzy topographic topological mapping (FTTM) application
title_sort	discretization of flat electroencephalography (eeg) using a probability distribution for fuzzy topographic topological mapping (fttm) application
granting_institution	Universiti Teknologi Malaysia, Faculty of Science
granting_department	Faculty of Science
publishDate	2017
url	http://eprints.utm.my/id/eprint/78916/1/NorhadhilahMohdHussainMFS2017.pdf
_version_	1747818102899343360

Discretization of flat Electroencephalography (EEG) using a probability distribution for fuzzy topographic topological mapping (FTTM) application

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