[Eeglablist] bad channels detection

[Makoto Miyakoshi]

Dear Anya,

Check out this page. Arno added 'Makoto's' which embarrasses me.
http://sccn.ucsd.edu/wiki/Makoto's_preprocessing_pipeline

Note especially 'The PREP pipeline' paper by Nima Bigdely-Shamlo (my former
colleague) and clean_rawdata() plugin by Christian Kothe (also my former
colleague). The PREP pipeline paper describes in detail how important
channel selection and interpolation is for obtaining good average
referencing. clean_rawdata() also has a very sophisticated bad channel
detection algorithm. Maybe the PREP algorithm is based on clean_rawdata()'s
one (just my guess, since Nima and Christian works together).

Makoto

On Fri, Jul 10, 2015 at 3:25 AM, Anya Stetsenko <stetsenko.an at gmail.com>
wrote:

> Dear EEGLAB community,
>
> I need to detect a lot of bad channels for many EEG recordings, but the
> automatic methods in the EEGLAB doesn't seem to be very helpful, as they
> fail to detect really bad channels.
>
> I have 128 channels, so my intuition is that a bad channel should have
> weak correlation with the data from the neighboring channels. Is there any
> procedure to measure this? And is it a good way to detect a bad channel? I
> guess there can be problems when 2 or more neighboring channels are bad,
> but may be that can be solved with some sort of re-check with other
> channels.
>
> Best regards,
> Anya
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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