I am working with 33 channels of EEG data with 25 epochs belonging to class 1 and 25 epochs belonging to class 2. I want to maximize the EEG signal difference between the two classes.
After running CSP, I get the spatial filter matrix of dimensions (33 x 33), which I transpose and multiply with each trial of my EEG matrix (according to Blankertz et al. 2008).
I am treating CSP as a filter to enhance the EEG signal difference between the two classes and then perform subsequent analysis (ERP, PSD etc.) and interpretation. Is that a viable approach? Will the application of the CSP filter change the interpretation of the signals in sensor space?
I am just starting out with CSP so I apologize if the question is very simple.
Thank you in advance!