The saccadic EEG detection based on EOG rejection

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This research is a part of a development for a novel brain computer interface based on the EEG caused by a saccadic eye movement. The EEG during a saccadic eye movement includes EEG due to saccade, a spontaneous EEG and an EOG component. The noise reduction is important factor to extract the saccadic EEG accurately. This research proposed the EOG reduction based on tensor product expansion. Moreover, we improved this method for reducing a spontaneous EEG and EOG, respectively. In order to achieve the real time noise reduction, thefast algorithm to estimate the dominant noises in EEG was reported. We showed that the proposed technique is effective for EOG reduction problem in EEG analysisby using an artificial signal and an EEG data.