A machine learning model to classify EEG motor imagery tasks of BCI IV 2a dataset using DWT and CSP with an SVM classifier
You should have a folder named "data" containing the BCI IV 2a dataset GDF files in the repo root directory.
Follow instructions here to create and activate virtual enviornment for this project.
to create virtual environment run
python -m venv envonce the virtual environment created run this command
source env/bin/activate
Run pip install -r requirements.txt to install any dependencies.
Once you have installed all requirements, do the following:
1- In model.ipynb, uncomment the convert_data function call and run all cells.
2- In model.ipynb, if you have already run the function call of convert_data then you don't need to do it again.