Hi,
In EEG signal processing, common spatial pattern(CSP) plays a vital role in feature extraction.
Here the spatial filter is multiplied by the input signal to fetch the features. for e.g., 2* m is considered as a feature vector. if m=3, (EEG samples x six columns) vector is formed. For 64 EEGChannels, can I choose filter as m= 32, so that a common spatial pattern feature is extracted from all the channels? can we change the 'm' value as per the EEG channels to get the CSP feature across respective channels?
Thanks,
Thenmozhi