Automatic Removal Algorithm of Ocular Artifact in Electroencephalogram Signal
Wang Bai-xiang · Jisuanji gongcheng · 2011
In order to automatically remove the ocular artifact from Electroencephalogram(EEG) data,this paper presents an effective and robust algorithm.Blind Source Separation(BSS) algorithm is used to separate real EEG signal,and a universal approach together with sample entropy is employed to identify the artifact components.The artifact is eliminated through reconstruction of EEG data.Simulation results are compared with a robust method based on fractal dimension and show the proposed algorithm can eliminate ocular artifact accurately and do little harm to useful EEG signals that for real EEG data of different lengths.Meanwhile,the proposed method does not need any reference channel,and is fully automated,which is suitable for real-time applications.