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Structural stability of flat electroencephalography

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

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Official URL: http://www.lifesciencesite.com/lsj/life1108/021_23...

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
Uncontrolled Keywords:persistence, structural stability
Subjects:Q Science
Divisions:Science
ID Code:62694
Deposited By: Fazli Masari
Deposited On:05 Jun 2017 09:59
Last Modified:05 Jun 2017 09:59

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