Localization of brain abnormal signal sources using blind source separation

An effective and simple algorithm for localization of abnormal sources of the EEG signals within the brain has been developed here. In this method the signals are separated first, then the estimated independent components are lowpass filtered and normalized. In the next stage the correlation values between the estimated sources and the electrode signals are measured. On the other hand the sources with known locations are separated offline using narrowband bandpass filters. Finally, as the main contribution of the paper the mixing matrix is estimated using the information about the known sources and the estimated sources. The locations of the unknown sources are then measured with respect to the columns of the mixing matrix and the geometrical properties of the head and electrode locations.