Application of independent component analysis in biomedical signals processing
Zhenhua Wu · 2004
Independent component analysis(ICA) has been successfully applied to biomedical signals(electroencephalograph,EEG; magnetoencephalograph,MEG; functional magnetic reasonance imaging,fMRI)processing,and proved to be a strong tool for biomedical signals processing. This paper systematically introduced applications of ICA to biomedical signals processing concerned by the domestic and international schaloars in recent years,points out the advantages and insufficiencies.