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Classification of EEG signals into three categories: normal, interictal, and ictal, using 2D convolution neural network =

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cnneeg

Classification of EEG signals into three categories: normal, interictal, and ictal, using 2D convolution neural network

To run the program:

  1. Software Python version 3.8.0 Tensorflow 2.4.1 sklearn 1.0.dev0 to use stratifiedGroupKfold otherwise last release CUDA 11.0

  2. Set the experiments path and the data path
    "exppath" : "D:/research/cnneeg/experiments/", "datapath" : "D:/research/cnneeg/data/images/",

    either use linux slash (/) style or windows escaped backslash (\)

  3. Un compress the file in the data directory

  4. In the source directory $ python main.py

  5. To generate other data sets, use the matlab provided code

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Classification of EEG signals into three categories: normal, interictal, and ictal, using 2D convolution neural network =

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