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Classification of EEG samples into motor imagery classes to be used for a simple Brain-Computer Interface.

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EEG signal classification

Training model for classification of EEG samples into motor imagery classes to be used for a simple Brain-Computer Interface.

Data:

Data has been taken from the dataset created and contributed to PhysioNet by the developers of the BCI2000 instrumentation system. To download the dataset:

  • wget -r --no-parent --accept "*.edf" "http://www.physionet.org/pn4/eegmmidb/"
  • mv www.physionet.org/pn4/eegmmidb data/

Dependencies:

  • eegtools
  • scikit-learn
  • numpy
  • scipy

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Classification of EEG samples into motor imagery classes to be used for a simple Brain-Computer Interface.

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