[Eeglablist] ICA for artifact removal with few channels

[Arnaud Delorme]

Dear Samaneh,

You can use ICA with 2 channels (and you will get 2 components). One of them might be an artifact. However, the separation will be poor and it will not be a pure artifact. You should only do that if artifacts are prominent in your data.

Arno

On Oct 17, 2014, at 6:13 AM, Samaneh Valipour <samanehvalipour61 at gmail.com> wrote:

> Dear David, 
> You said "use ICA with so few channels for artifact rejection ", 
> Is that possible even with two EEG and two EOG channels? Because just these channels are available in my dataset and I whould like to know can I apply ICA for OA removal on this dataset?
> 
> 
> On Thu, Oct 16, 2014 at 3:55 PM, Becky Prince <becky.prince at york.ac.uk> wrote:
>    This message is eligible for Automatic Cleanup! (becky.prince at york.ac.uk) Add cleanup rule | More info 
> 
> Thanks very much for the response, David!
> 
> ____________________________________________
> 
> 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
> 
> On 16 October 2014 19:10, David Groppe <david.m.groppe at gmail.com> wrote:
> 
> You can still use ICA with so few channels for artifact rejection, Becky. 
> It should successfully extract large artifacts like blinks and eye movement.
>    cheers,
>       -D
> 
> On Thu, Oct 16, 2014 at 10:49 AM, Becky Prince <becky.prince at york.ac.uk> wrote:
> 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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> 
> -- 
> David Groppe, Ph.D.
> Laboratory for Multimodal Human Brain Mapping
> Feinstein Institute for Medical Research 
> Manhasset, New York
> http://www.cogsci.ucsd.edu/~dgroppe/
> 
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> -- 
> With very kind regards,
> 
> Samaneh .Valipour
> 
> PhD research student: DOES_UOP_INDIA 
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