ICA method with multi-references and its application to removing artifacts from brain signals
Jian Feng Wu · Dalian Ligong Daxue xuebao · 2008
In order to eliminate the effect of artifacts in electroencephalograph(EEG) signals,such as electrocardiogram(ECG) and electrooculogram(EOG),etc.,a new ICA(independent component analysis) method with multi-references is proposed based on the fixed-point algorithm and the ICA algorithm with references.After the proportions of artifacts in observation signals are calculated respectively,the comparatively pure EEGs are separated from the artifacts.Compared with fast ICA,the new method has less computational complexity and doesn′t need to dispose the independent sources.In addition,it can overcome the defect of ICA-R algorithm which just extracts single signal.Computer simulation demonstrates that the new method can effectively remove several artifacts from brain signals.