[Eeglablist] General EEG Analysis Questions: smoothing and artifact removal

[Ross Fulham]

Grant,

Picton et al (2000) is an excellent reference, although it specifically
describes recording and reporting standards for event-related
potentials, much of the material will also be applicable for ECoG data.

Picton, T.W., et al (2000). Guidelines for using human event-related
potentials to study cognition: Recording standards and publication
criteria. Psychophysiology, 37, 127-152.



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Dr Ross Fulham
Research Officer 
Room 1025, Ph: 492 46636, Fax: 492 46608
Centre For Mental Health Studies
James Fletcher Hospital
Newcastle, NSW. Australia.

Functional Neuroimaging Laboratory,
Discipline of Psychology
School of Behavioural Sciences, 
The University of Newcastle.

e-mail Ross.Fulham at newcastle.edu.au
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>>> "McAuley, Grant (LLU)" <gmcauley at llu.edu> 01/03/08 10:37 AM >>>
Hello List,


I hope you don't mind a more general EEG question - I have not found a
'general eeg list'.


My application seems pretty simple compared to what EEGLAB is (afaik)
typically used for:

I have been asked to analyze some fetal ovine ECoG data.  At this stage
it involves calculating power spectra and SEF for certain epochs of
interest on one or two channels.  For preliminary data/work, I have
implemented code in MATLAB that breaks a recording into epochs, applies
a Hanning window to each epoch, and calculates the power spectrum and
sef.  I would like to now refine the procedure (suitable for
publication).


My questions:

For this pretty traditional analysis, is there a literature reference or
two that describes an 'acquisition/filtering/smoothing/artifact
recognition and removal/analysis' procedure that is accepted in the
literature to give robust analysis?

One area that I need to look at is artifact recognition and removal (as
well as general data preparation before the power analysis).  Any tips
and info, references, or EEGLAB code related to this would be helpful.


Any help would be much appreciated.




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