Independent component extraction methods in biosignal processing

The paper discusses methods for independent source identification within multiple channels electroencephalographical (EEG) signals recordings. The focus is to compare the independent component analysis (ICA) technique to a novel proposed method for individual components separation - the phase space method (PSM). Methods are suitable to be used for any multi-lead signal especially within biomedical signals processing area where independence is a key issue.