[Eeglablist] Rank(EEG.data)

Marius Klug marius.s.klug at gmail.com
Tue Aug 7 05:17:00 PDT 2018


Hi all,

I have a similar problem, even though I use double precision. It always
gives me the full rank, with average reference and a few interpolated
channels. If I calculate an AMICA, I manually subtract the number of
interpolated channels plus 1 from EEG.nbchan to get the rank.

Best,
Marius

2018-07-31 19:18 GMT+02:00 Makoto Miyakoshi <mmiyakoshi at ucsd.edu>:

> Dear Hamed,
>
> > Do you know what can be my fault or what is the reason of this issue?
>
> Try rank(double(EEG.data')) Most likely that's because your input was
> single precision data.
>
> Makoto
>
> On Mon, Jul 23, 2018 at 1:53 PM Hamed Taheri <hamedtaheri at yahoo.com>
> wrote:
>
>> Hello all,
>>
>> I have a problem with rank(EEG.data).
>> Actually, before running the ICA I'm using rank(EEG.data) to run the ICA
>> in the proper rank with PCA. But the given results by rank(EEG.data) are
>> very strange.
>> For example, I have 64 channels EEG and after preprocessing I have 60 but
>> the rank(EEG.data) gives me 11 or for another data 20.
>> I've tried with several data and all results were strange. I was in doubt
>> maybe I made a bridge between channels during injecting gel but I've tried
>> with another data which I'm sure they are perfect but I see the same
>> problem.
>> Do you know what can be my fault or what is the reason of this issue?
>> I remember if data wasn't full rank the EEGLAB gave us a message before
>> running the ICA which you will have fewer ICs and showed up the number of
>> ICs but now I don't have this message even if I know I interpolated for
>> instance 5 channels.
>>
>> I would be so thankful if you could help me.
>>
>> Hamed
>>
>>
>>
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>
>
> --
> Makoto Miyakoshi
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
>
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