Prediction of sleep state using EEG data and model prediction

Here you can find explanations about how features are built and models used to predict sleep states.

• Python 2.7 + pip

• Python packages : numpy, scipy, scikit-learn, pandas, pywavelet

• Numpy : http://www.numpy.org/

• Scipy : http://www.scipy.org/

• Scikit-learn : http://scikit-learn.org/stable/

• Pandas : http://pandas.pydata.org/

• pyWavelet : http://pywavelets.readthedocs.org/en/latest/

You can install them by typing:

pip install -r requirements.txt

Step 1 : Open the file main.py
Step 2 : Check that mat_file point to the challenge data file. Data can be found into the data folder, just unzip it (about 500Mb).
Step 3 : Save and run the file :

python main

The process is quite slow, so be patient. If everything is okay, the result file show up as pred_res.txt next to the main.