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Comparison of EEG source localization using meromorphic approximation to fuzzy c-mean

Saeidias, Leila and Ahmad, Tahir and Alias, Norma and Ghanbari, Mehdi (2013) Comparison of EEG source localization using meromorphic approximation to fuzzy c-mean. Malaysian Journal of Fundamental and Applied Sciences, 9 (4). pp. 215-220. ISSN 1823-626X

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Abstract

Electroencephalography (EEG) is a neuroimaging technique for localizing active sources within the brain, from knowledge of electromagnetic measurements outside the head. Recognition of point sources from boundary measurements is an ill-posed inverse problem. InEEG, measurements are only accessible at electrode positions, the number of sources is not known a prior. This paper proposes a comparison between two approaches for EEG source localization. First method based on Meromorphic approximation techniques in the complex plane and second one belongs to EEG’s method which is processed using Fuzzy C-Means (FCM). Comparison results on simulated data are used to verify the superior of the Meromorphic approximation with regarding to Fuzzy c-means, due to it provides the way for solving inverse problem of EEG source localization in 3D from boundary measurement based on Harmon function in the innermost layer. Leila Saeidias, , ,

Item Type:Article
Uncontrolled Keywords:Fuzzy
Subjects:Q Science > QA Mathematics
Divisions:Science
ID Code:47831
Deposited By: Haliza Zainal
Deposited On:07 Jul 2015 09:58
Last Modified:31 Jan 2017 15:37

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