francesco-mttl/MI-EEG-1D-CNN

A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and a limited number of EEG channels. Paper: https://doi.org/10.1088/1741-2552/ac4430

语言：Python · GitHub 星标：176 · Fork：18

话题：artificial-neural-networks · brain-computer-interface · neuroscience

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