ambitious-octopus / 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
GNU General Public License v3.0
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Test #2 #19

Closed ambitious-octopus closed 2 years ago

ambitious-octopus commented 2 years ago

Trained network, single subject, sliding windows [step 0.5 seconds]. Show Plot.