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.
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Python 2.7 + pip
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Python packages : numpy, scipy, scikit-learn, pandas, pywavelet
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Numpy : http://www.numpy.org/
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Scipy : http://www.scipy.org/
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Scikit-learn : http://scikit-learn.org/stable/
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Pandas : http://pandas.pydata.org/
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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.