why is the signal divided into epochs in EEG classification? I'm new in EEG signal classification.
Studying the literature on this topic, I wonder why the EEG signals are divided in epochs, so, instead of classifying the whole signal all at once, we usually classify &quot;windows&quot; of signal, splitting the original one. I searched in the literature for a possible explanation, but I find nothing which answers to my question.
Basically, to perform a spectral analysis. Take a look to this: http://support.ircam.fr/docs/AudioSculpt/3.0/co/Window%20Size.html
I do not know if you refer to some specific approach, but usually, the main EEG classification approaches use frequency analysis (also combined with temporal analysis) to extract the features that will be used to train the classifier or infer the prediction.
Cheers