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

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, , ,