A New Computational Method for Single-Trial-EEG-Based BCI - Proposal of the Number of Electrodes

In this paper, the categorization of single-trial EEG data recorded during the MI-related task, as another data reduction, will be attempted, because the categorical data would require less storage and computational time than continuous one. The categorization will be realized by equivalent current dipole source localization (ECDL). To analyze this, we used EEG data and visually evoked related potentials (v-ERP) led by 32 electrodes. From the result of single-trial v-ERP, only 6 electrode v-ERPs have a remarkable reaction. Therefore, from the view point of business, it is found that the minimum number of electrodes have been seven.

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