[Eeglablist] using IClabel combinations to flag artifacts

[Maruti Mishra]

ok. Thank you
Thank You,
Maruti


On Wed, Nov 9, 2022 at 5:26 PM Cedric Cannard <ccannard at protonmail.com>
wrote:

> Dear Maruti,
>
> I could be wrong, but I believe the thresholds correspond to the
> classification's confidence, so you never want to use low values, because
> you would be making a decision based on an unreliable classification (i.e.
> you are keeping or rejecting something that was not classified with high
> confidence, so you don't really know what it is basically).
> You could keep only the Brain class with confidence > .9, but this is not
> recommended because some components may have not been classified well
> (because of less obvious features) and yet contain valuable brain signals
> that you would be rejecting.
> The default is to reject ocular and muscular classes with confidence > .9
> (i.e. 90% confidence), I would just follow that and look at the components
> that are rejected to check visually. e.g. pop_selectcomps(EEG,
> 1:EEG.nbchan);
>
>
> Cedric Cannard
>
>
>
> ------- Original Message -------
> On Wednesday, November 9th, 2022 at 6:11 AM, Maruti Mishra <
> maruti.mishra07 at gmail.com> wrote:
>
>
> > Hi,
> > I am using EEGLAB IClabel on a 5 min eye open resting state data.
> > I wanted to know if it is ok to use threshold combinations (Brain <0.1 &
> > Other >0.75 & muscle >0.8) to reject ICs, or its just good to say remove
> >
> > components Brain <0.1 and then eye <0.75 etc
> >
> > Thank You,
> > Maruti
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