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Because of EEG nature, in EEG analysis often researcher use Windowing/segmentation method.

As i currently work on sleep study, and in my study i need to analysis EEG data, i came to a problem.

My problem: should i filter and Denise my EEG signal and then segment it or no i should firstly segment my EEG and then filter and denoise each epoch separately?

And as extra question, is there any difference between these two in signal processing view?

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Depending on whom you ask, you get both answers. That's mostly dependent on the denoising algorithm. If you're using an adaption of GST, you are segmenting first with an n-1 overlap.

If you're using S3P I'd recommend not segmenting, since (in my experience) there is a slight difference, with unsegmented data having slightly closer results to Fernandez and Li, 2003 and Frangakis and Hegerl, 2001.

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  • $\begingroup$ Thanks for your answer. Could you expand your references (I mean, write them in full?) $\endgroup$
    – AliceD ♦
    Commented Dec 4, 2017 at 12:36
  • $\begingroup$ Thanks for your answer @Doc_Dormicum. For my denoising i only uses a simple 4th order high-pass Butterworth filter. $\endgroup$
    – maia
    Commented Dec 4, 2017 at 13:28

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