EEG-using-deep-Learning

In this Basic Tutorial, Machine learning and deep learning algorithms have been used for EEG signal Classification.

The algorithms prepared in matlab and pythons.

Install anaconda and jupyter notebook and simply run the models in python.

The test dataset is provided for reference.

You can choose and Prepare your own dataset.

If you have any question, write email. [email protected]

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
DL_models for EEG classification.ipynb		DL_models for EEG classification.ipynb
EEG Eye State.txt		EEG Eye State.txt
EEGdatasets.md		EEGdatasets.md
EEGtutorialusingdeeplearning.m		EEGtutorialusingdeeplearning.m
Eeglab_data.set		Eeglab_data.set
ML_Algorithms for EEG Classification.ipynb		ML_Algorithms for EEG Classification.ipynb
README.md		README.md
brainvision_raw.ipynb		brainvision_raw.ipynb
eeglab-data-sample-2.ipynb		eeglab-data-sample-2.ipynb
eeglab-data-sample.ipynb		eeglab-data-sample.ipynb
event-related-potentials.ipynb		event-related-potentials.ipynb
motor-imagery-decoding-csp.ipynb		motor-imagery-decoding-csp.ipynb
readme.md		readme.md

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