Mathematical Modelling For EEG Source Localization Using Subspace Method

Shijina, K Narayanankutty
International Journal on Advanced Computer Engineering and Communication Technology   unpublished
A subspace based source localization method is proposed to estimate the location of sources of electrical activity within brain from EEG signals recorded by an array of sensors. Main intention is to localize sources with a minimum of localization error. The proposed method here is the Multiple Signal Classification (MUSIC) algorithm that locates multiple dipole sources from EEG data. In this, multiple dipole locations are found by scanning potential locations using a simple one dipole model.
more » ... ne dipole model. This method provides high spatial resolution than conventional methods.