Topological basis of flat electroencephalography's state space
Neuroinverse problem are often associated with complex neuronal activity. It involves locating problematic neuron which usually a highly challenging task. While epileptic foci localization is possible with the aid of EEG signals, it relies greatly on the ability to extract hidden information or patt...
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my.utm.661542017-07-13T06:19:40Z http://eprints.utm.my/id/eprint/66154/ Topological basis of flat electroencephalography's state space Tan, Lit Ken Ahmad, Tahir Lee, Kee Quen Gan, Yee Sian Tey, Wah Yen Wong, Wai Kit T Technology Q Science Neuroinverse problem are often associated with complex neuronal activity. It involves locating problematic neuron which usually a highly challenging task. While epileptic foci localization is possible with the aid of EEG signals, it relies greatly on the ability to extract hidden information or pattern within EEG signals. Flat EEG being an enhancement of EEG is a way of viewing electroencephalograph on the real plane. In the perspective of dynamical systems, the equivalency of epileptic seizure and Flat EEG is important since the underlying structure of Flat EEG is dynamic. In this paper, a basis for the topological space of Flat EEG is presented. It is expected to facilitate in the constructions of dynamic transformation from epileptic seizure to Flat EEG. It provides a better understanding on Flat EEG itself. Asian Online Journals 2017-01-04 Article PeerReviewed Tan, Lit Ken and Ahmad, Tahir and Lee, Kee Quen and Gan, Yee Sian and Tey, Wah Yen and Wong, Wai Kit (2017) Topological basis of flat electroencephalography's state space. Asian Journal of Engineering and Technology, 5 (2). pp. 62-70. ISSN 2321-2462 http://www.ajouronline.com/index.php/AJET/article/view/4756 |
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T Technology Q Science Tan, Lit Ken Ahmad, Tahir Lee, Kee Quen Gan, Yee Sian Tey, Wah Yen Wong, Wai Kit Topological basis of flat electroencephalography's state space |
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Neuroinverse problem are often associated with complex neuronal activity. It involves locating problematic neuron which usually a highly challenging task. While epileptic foci localization is possible with the aid of EEG signals, it relies greatly on the ability to extract hidden information or pattern within EEG signals. Flat EEG being an enhancement of EEG is a way of viewing electroencephalograph on the real plane. In the perspective of dynamical systems, the equivalency of epileptic seizure and Flat EEG is important since the underlying structure of Flat EEG is dynamic. In this paper, a basis for the topological space of Flat EEG is presented. It is expected to facilitate in the constructions of dynamic transformation from epileptic seizure to Flat EEG. It provides a better understanding on Flat EEG itself. |
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Article |
author |
Tan, Lit Ken Ahmad, Tahir Lee, Kee Quen Gan, Yee Sian Tey, Wah Yen Wong, Wai Kit |
author_facet |
Tan, Lit Ken Ahmad, Tahir Lee, Kee Quen Gan, Yee Sian Tey, Wah Yen Wong, Wai Kit |
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Tan, Lit Ken |
title |
Topological basis of flat electroencephalography's state space |
title_short |
Topological basis of flat electroencephalography's state space |
title_full |
Topological basis of flat electroencephalography's state space |
title_fullStr |
Topological basis of flat electroencephalography's state space |
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Topological basis of flat electroencephalography's state space |
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topological basis of flat electroencephalography's state space |
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Asian Online Journals |
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2017 |
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http://eprints.utm.my/id/eprint/66154/ http://www.ajouronline.com/index.php/AJET/article/view/4756 |
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