Online artifact removal in EEG signals
A Brain Computer Interface(BCI) is a communication tool between human and external devices by means of electroencephalogram(EEG) which is the recording of electrical activity derived from scalp.EEG contains some artifacts because of body movement and eye blinking,for example.Therefore subjects must not to move and blink during experiment to get fine data.EEG signal with artifact is eliminated in the offline analysis.However,in the online BCI system,artifacts must be removed to avoid malfunction.Independent component analysis (ICA) has become one of the most prominent techniques for EEG.In generally,method of using ICA can remove artifacts after the offline training,but such a method is not suitable for BCI systems in the online driving.In this study,we propose a method the online EOG artifact removal method using ICA,and verify the effect of this method in the δ(1-3Hz),θ(4-7Hz),α(8-12Hz),β(14-30Hz) frequency range.Eye blinks components detection is based on kurtosis.First,the occurrence of a blink is detected by observing the EEG.Next,set the interval that contains the blink and apply ICA to EEG in the interval.Blink components obtained by ICA is determined by the kurtosis.After that,blink artifact components are removed.The EEG has been rebuilt using the other independent components obtained by ICA.As a result,it can remove the effect of EOG artifact in all frequency range.
Eye blink Independent component analysis Artifact Brain Computer Interface EEG
Fumiyoshi Matsusaki Takahiro Ikuno Yoshinori Katayama Keiji Iramina
Graduate School of Systems Life Sciences, Kyushu University, Fukuoka, Japan Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan Graduate School of Systems Life Sciences, Kyushu University, Fukuoka, Japan;Faculty of Information S
国际会议
World Congress on Medical Physics and Biomedical Engineering (2012年医学物理及生物医学工程国际会议(IFMBE))
北京
英文
352-355
2012-05-26（万方平台首次上网日期，不代表论文的发表时间）