CNN models for EEG motor imagery signal classification
CNN models for EEG motor imagery signal classification
Mahmoud A. Alnaanah,Moutz Wahdow,Mohd H. S. Alrashdan
2022 · DOI: 10.1007/s11760-022-02293-1
Signal, Image and Video Processing · 30 Citations
TLDR
A number of convolutional neural networks (CNNs) models for EEG MI signal classification are proposed and a method for enhancing the classification accuracy by feeding the CNN model with different frequency bands filters, which shows a significant improvement.
