[Eeglablist] ICA for artifact removal with few channels

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Thu Oct 16 16:14:03 PDT 2014

Dear Becky,

In my unpublished little experiement, I confirmed that 33ch data and 3ch
data ICA decomposition produced exact same ERPimage for eye blinks. From
this, I would be confidently use it at least for blink correction.


On Thu, Oct 16, 2014 at 7:49 AM, Becky Prince <becky.prince at york.ac.uk>

> Dear List,
> I'm working on a frequency analysis of resting EEG with relatively few
> channels (6 scalp, 2 mastoids, 2 EOGs), and I'd like to be able to extract
> reliable estimates of low frequency power.  In previous analyses I have
> used ICA to remove artifacts, but this was with 64-channel data.  Has
> anyone used ICA for artifact removal with a low-density channel array, or
> could anyone recommend resources on pipelines for this type of data and
> analysis?
> If ICA can't be used with this data, then I suppose the alternative is to
> remove segments containing artifacts, and then only analyse the remaining
> segments that are long enough to extract an estimate of the lowest
> frequency (e.g. ~1.5 seconds for a minimum frequency of 2 Hz).  Is this
> correct, or is there a better approach?
> Sorry that this is not strictly an EEGLAB question.  I am doing the
> analysis in EEGLAB so any EEGLAB-specific tips would be appreciated!
> Thanks,
> Becky
> ____________________________________________
> Becky Gilbert (nee Prince)
> PhD Researcher
> http://www.york.ac.uk/psychology/staff/postgrads/becky.gilbert/
> Lab C120
> Department of Psychology
> University of York
> Heslington, York, YO10 5DD, UK
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Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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