This source code is implemented using keras library based on "Automatic ocular artifacts removal in EEG using deep learning" paper just for research purposes. Having said that a complete match with the paper is not guaranteed.

This project contains:

• Common Spatial Pattern for EEG Feature Extraction
• using Deep Stacked Sparse Autoencoders (Keras) for EEG Denoising
• Support Vector Machine for EEG Classification

Dependencies:

• Please download Data sets 1 of the BCI Competition IV.
• sudo pip install keras
• sudo pip install tensorflow
• sudo pip install sklearn
• sudo pip install matplotlib
• sudo pip install mne