EEG-Classification
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This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.
In your code: locs_2d = [(-2.0,4.0), (2.0,4.0), (-1.0,3.0), (1.0,3.0), (-3.0,3.0), (3.0,3.0), (-2.0,2.0), (2.0,2.0), (-2.0,-2.0), (2.0,-2.0), (-4.0,1.0), (4.0,1.0), (-1.0,-3.0), (1.0,-3.0)] How do you get it?
@tevisgehr can you please tell me that why there are multiple training files ( i notice they are different in overlap )
sorry for very basic question can i ask why there are multiple trianing files
Hi, I'm a bit misunderstanding, in your example, you are creating about 4000 images from 16 signal, but at the end of the classification if you want to get the...
Currently working on Python 3.6.8, Numpy 1.16.4, Matplotlib 3.0.3, Pandas 0.24.2. The images generated are not as distinct as the ones in the notebook. Scaling does not take place properly...
Your experiment is based on known and unknown the words , If I want to classify motor imagery , how can I do it?