Decoding motor imagery tasks using ESI and hybrid feature CNN
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DOI: 10.1088/1741-2552/ac4ed0
Abstract: Objective. Brain–computer interface (BCI) based on motor imaging electroencephalogram (MI-EEG) can be useful in a natural interaction system. In this paper, a new framework is proposed to solve the MI-EEG binary classification problem. Approach. Electrophysiological… read more here.
Keywords: augment methods; classification; accuracy; motor ... See more keywords