A New Blind Source Separation Method to Remove Artifact in EEG Signals

EEG (Electroencephalogram) signals recording the brain activities which carry abundant physiological and pathological information, have great significance in the research. However, it mixed with a variety of artifacts, special the EOG (Electrooculogram), that affect the judgment, removing the artifact is of great meaning. Blind Source Separation (BSS) is popular in signal processing recently, many methods are applied to remove artifacts from EEG signals, such as Second Order Blind Identification (SOBI), Wavelet Transform (WT) and Independent Component Analysis (ICA). Stone´s method is to use two different linear filters which process the same set sources, here first use to remove the EOG artifact in EEG signals, it is also a new field for the stone algorithm application. Then compared with two classical algorithms, determine the superiority of the proposed algorithm, finally give the conclusion.