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Structural Stability of Flat Electroencephalography

Tan, Lit Ken and Tahir, Ahmad (2014) Structural Stability of Flat Electroencephalography. Life Science Journal, 11 (8). pp. 165-170. ISSN 1097-8135

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Abstract

Flat Electroencephalography is a way of viewing electroencephalography signals on the first component of Fuzzy Topograhic Topological Mapping (FTTM), a model which was designed to solve neuromagnetic inverse problem. This novel method is well known for its ability to preserves the orientation and magnitude of EEG sensors and signals. However, this preservation renders Flat EEG to contain unwanted signals captured during recording from the surroundings. Consequently, its accuracy in depicting actual electrical activity inside the brain is affected. Present of artifacts would pose a serious problem if it is large. Thusly, this study will investigate the persistence of Flat EEG to surrounding “noises” from dynamic viewpoint by means of structural stability. Basically, it will be showed that Flat EEG in the presence of “noises” may still reflects the actual electrical activity inside the brain, if the contaminated Flat EEG falls within a class of dynamical systems.

Item Type: Article
Subjects: R Medicine > R Medicine (General)
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Q Science > QA Mathematics
Faculty/Division: Faculty of Industrial Sciences And Technology
Depositing User: Dr. Tan Lit Ken
Date Deposited: 06 Aug 2014 04:31
Last Modified: 03 Mar 2015 09:27
URI: http://umpir.ump.edu.my/id/eprint/5913
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