Source localization based on EEG spatial-temporal data
WU Qing · 2004
It is an important topic in electroencephalography(EEG)research to localize the EEG activity sources from the scapl recordings.In this paper, we use a method of multiple signal classification (MUSIC) algorithm.It can automatically extracts the locations of the sources through a recursive use of subspace projections.The method not only can locate asynchronous dipoles but also can locate synchronous diploles.