My question is regarding the mathematical implications of concatenating very small windows from different trials, of the same size and for the same period in time after a stimuli. In other words, given an exemple let's say my data has 3 channels, 6 trials and 10 data points per trial ( size of data [3x10x6]). What I want is to build a new data with the same 3 channels, but with a concatenation of windows of 2 datapoints for all  trials, and repeated this for the number of windows possible, which would be in this case 5 (size of new data [3x12x5]). Why can guess that the frequency analysis will be pointless due to dramatic changes in the signal, but what other implications should I considered? Would be also reasonable to apply detrending and demean to this new data?
Concatenating small windows of EEG signals over trial
data analysis;biophysics;signal processing