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Geometric Deep Learning-Based Classifiers for Motor Imagery Classification using Electroencephalograms

Ce Ju and Cuntai Guan School of Computer Science and Engineering at Nanyang Technological University Since changes in sensorimotor rhythms (SMR) occurring within the sensorimotor areas of the brain during motor imagery (MI) can effectively function as control signals for electroencephalography (EEG)-based brain-computer interfaces (BCIs), MI-EEG classification has been a primary area of research in BCIs [1, 2]. During the …