Dipole estimation with a combination of noise reduction and spatial filter

An analysis of magnetoencephalography data with a reduction of noise by a Kalman filter, independent component analysis and a reconstruction of current dipole via a non-adaptive spatial filter is proposed and applied to actual data. The N1m component is extracted and the bilateral neural activity is reconstructed from a set of single-trial AEF (auditory evoked field) data.