[Eeglablist] EEG data rank

[Makoto Miyakoshi]

Dear Cetric,

See this article for your info.
https://sccn.ucsd.edu/wiki/Makoto's_useful_EEGLAB_code#How_to_avoid_the_effect_of_rank-deficiency_in_applying_ICA_.2803.2F02.2F2021_added.29

Makoto

On Thu, Mar 4, 2021 at 2:47 PM Cedric Cannard <ccannard at protonmail.com>
wrote:

> Hi,
>
> Never mind, it works with rank(double(EEG.data))
>
> Sorry, I thought EEGLAB' data had double precision by default.
>
> Cedric
>
> ‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
> On Wednesday, March 3, 2021 6:27 PM, Cedric Cannard <
> ccannard at protonmail.com> wrote:
>
> > Hi everyone,
> >
> > I was trying to assess data rank after importing some Biosemi and
> Neuroscan data, trying different importing methods, as well as
> re-referencing methods (average and REST) to see their impacts on rank, but
> get weird numbers (e.g. rank 1, 9, 21 with 64 channels data). I have been
> using rank(EEG.data) in Matlab 2020b.
> > I have tried importing data with pop_biosig and pop_readbdf, with Cz as
> reference or no reference (same results), and pop_loadcnt for neuroscan
> .cnt data.
> > I am also seeing rank changes after downsampling, filtering,
> interpolating channels, etc.
> > Is this not the right way to assess rank?
> >
> > Cedric
> _______________________________________________
> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
> To unsubscribe, send an empty email to
> eeglablist-unsubscribe at sccn.ucsd.edu
> For digest mode, send an email with the subject "set digest mime" to
> eeglablist-request at sccn.ucsd.edu