segmenting an EEG data I have an EEG labeled data, which is the data that used for training, And I want to segment those data based on the time of EEG signal (Time-based Epoching) as a preprocessing step,  based on the nature of EEG signals which is best:


To segment the data based on time domain, for example to take each 64 samples together.
Using the windowing functions like gaussian and hamming window. also if the best was this one,is it better to make the windows overlapped or not?
Overlapping segments don't cause any problem, unless your experimental design convinces you that such segments should not be allowed