MSEI-ENet: A Multi-Scale EEG-Inception Integrated Encoder Network for Motor Imagery EEG Decoding
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DOI: 10.3390/brainsci15020129
Abstract: Background: Due to complex signal characteristics and distinct individual differences, the decoding of a motor imagery electroencephalogram (MI-EEG) is limited by the unsatisfactory performance of suboptimal traditional models. Methods: A subject-independent model named MSEI-ENet is… read more here.
Keywords: motor imagery; eeg decoding; eeg inception; multi scale ... See more keywords