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How to build a CNN model to classify motor imagery tasks from EEG signals?

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Lalawmpuia Chawngthu
Lalawmpuia Chawngthu on 17 Dec 2020
Answered: Srivardhan Gadila on 20 Dec 2020
I have processed the raw eeg signals using DWT, and have extracted the detailed coefficients at level 3,4 and 5, and naming them as D3,D4,D5/ (sampling frequency at 200Hz).
Now, I would like to pass D3,D4,D5 as input to the CNN model to classify the signals. How can i build a CNN model for this problem?


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