Automatic ocular artifacts removal in EEG using deep learning

Oct 18, 2021 1 min read

CSP_Deep_EEG

This source code is implemented using keras library based on “Automatic ocular artifacts removal in EEG using deep learning” {https://www.sciencedirect.com/science/article/pii/S1746809418300521} paper just for research purposes, though a complete match with the paper is not guaranteed at all.

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 dataset 1 of the BCI Competition IV available on http://www.bbci.de/competition/iv/.
sudo pip install keras
sudo pip install tensorflow
sudo pip install sklearn
sudo pip install matplotlib
sudo pip install mne
sudo pip install IPython

GitHub

View Github

John was the first writer to have joined pythonawesome.com. He has since then inculcated very effective writing and reviewing culture at pythonawesome which rivals have found impossible to imitate.