Independent component extraction methods in biosignal processing
Cristin Bigan, Malcolm S. Woolfson · 2005
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.