Personalized motor imagery prediction model based on individual difference of ERP.
Haodong DengMengfan LiHaoxin ZuoHuihui ZhouEnming QiXue WuGuizhi XuPublished in: Journal of neural engineering (2024)
The personalized MI prediction model that uses the temporal ERP features to predict the classification accuracy of MI is feasible for improving the individual's MI-BCI performance, providing a new personalized solution for the individual difference and practical BCI application.
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