Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification
This is the code that was used in "Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification" paper (https://doi.org/10.1007/s10489-023-05134-x).
It is required Python 3.9 version or above to execute the code.
Modify the config.json file accordingly and run:
python -m miconvnet.train_val