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pbashivan / EEGLearn

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

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Can I use your code to classify of EEG motor imagery signals?

wuguowei1994 opened this issue · comments

commented

Your experiment is based on known and unknown the words , If I want to classify motor imagery , how can I do it?

commented

You should be able to do so by following these steps:

  1. Find the electrode coordinates (x, y, z) and use function azim_proj to project them to 2D.

  2. Use function gen_images to transform your EEG feature matrix and electrode locations into multi-channel images.

  3. Train a CNN or R-CNN to classify each action category given the images or sequence of images. You can use the sample code here.

commented

Feel free to open if there are more related issues.