- Python 3.6
- numpy 1.15.4
- scipy 1.1.0
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You can use the DE_PSD.py to compute DE and PSD features of a set of data.
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Data preparation for MASS-SS3
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Get the MASS-SS3 dataset, and extract useful data to save as .mat file.
- Default path is /data/SS3/
- XX-XX-XXXX-Data.mat: include variable 'PSG' (n * channels * t, t is the number of sampling points in 30 seconds)
- XX-XX-XXXX-Label.mat: include variable 'label' (n * 5, one-hot)
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Generate 31 fold data set, using subject-independent scheme.
- Default feature storage path is /data/DE_PSD/
- 31 fold data set is default stored as /data/XXXX.npz
python process_SS3.py