Hello,
I have 2 questions:
1- About using spatial filter methods for EEG signals dataset. For the classification with machine learning techniques, can I use PCA and CSP as a spatial filter methods at the same time to show the better result for the classification? Or they should not be used together?
2- I found that EEGNET is a good deep learning package for EEG datasets based on some papers, How can I apply EEGNET for 1D dataset? Because I have a csv file with a shape (100000, 62). It gives me dimensional error because the source code is written for 2D dataset.
Thank you for your help.
Regards,