[Eeglablist] removing eye blinks from 256 channel EEG

Germano Gallicchio germano.gallicchio at gmail.com
Thu Dec 4 15:09:43 PST 2014


Dear Makoto,

provided that the more data points the better, is there any specific
formula for computing the minimum number of data points to pass to ICA?

Thanks,
Germano

On 4 December 2014 at 20:32, Makoto Miyakoshi <mmiyakoshi at ucsd.edu> wrote:

> Dear Jeff,
>
> > My epochs range from 3 to 20 minutes.
>
> Sounds too short for 256ch decomposition. You need at least > 1 million
> datapoints for it. Using high sampling rate such as 1000Hz increases
> apparent datapoints, but I'm not sure how it helps.
>
> > I generally find 1-3 ICs for each subject.
>
> This sounds too few for 256ch decomposition.
>
> > general background noise goes UP after these 1-3 components are removed.
>
> If the removed components are coupled with other components that cancels
> out each other, this could happen. However that's kind of rare and I don't
> see it very often... most likely your decomposition has problems.
>
> Makoto
>
> On Wed, Nov 26, 2014 at 3:18 PM, K Jeffrey Eriksen <eriksenj at ohsu.edu>
> wrote:
>
>>  EEGlabbers:
>>
>>  Does anyone out there have particular experience from removing eye
>> blinks from 256 channel EEG data using ICA? I have started to apply it to
>> 11 subjects with data recorded at 1,000 frame/sec, bandpass filtered &
>> downsampled to 250 fps. My epochs range from 3 to 20 minutes. I generally
>> find 1-3 ICs for each subject. When I remove these, there is still visible
>> remnants around the time of each eye blink. Of more concern is that the
>> general background noise goes UP after these 1-3 components are removed.
>>
>>  Any ideas that might improve my results? I can post some screenshots if
>> need be.
>> Thanks,
>>
>>  -Jeff
>>
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>
>
>
> --
> Makoto Miyakoshi
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
>
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