[Eeglablist] Code with tutorial to find optimal cut-off parameter of ASR

[Velu Prabhakar Kumaravel]

Dear Makoto,

Thanks for this wonderful update. The proposed approach is *really*
interesting and I can't wait to see the results.

Best regards,

Velu


On Tue, 15 Mar 2022 at 00:37, Makoto Miyakoshi via eeglablist <
eeglablist at sccn.ucsd.edu> wrote:

> Dear Velu,
>
> Relatedly, Hyeonseok and I have been working on a mod for the calibration
> stage of ASR to process our Juggling data collected by Hiroyuki.
> We will present the idea at the Mobi meeting 2022.
>
> https://urldefense.proofpoint.com/v2/url?u=https-3A__sites.google.com_ucsd.edu_mobi2022_&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=EPeRz5TzFSYYznxZnS2m3PtKD2iJKn761bzPggIVLh6SzXSz3DEp2Uxr9dBTzC9U&s=4KfHFFciD6WCO1XVfkQroJsihX_LWffBL6Eh2KXRqcI&e=
>
> The idea is to use single-frame order statistics across electrodes rather
> than the default sliding window for selecting the calibration data. This
> way, we can obtain more 'clean' data points without letting high-amplitude
> artifacts into the calibration data (there is a default tolerance
> value--that is, the default setting allows a small amount of outliers sneak
> into the calibration data, up to 7.5% of electrodes; The proposed
> method uses 0%.) The proposed method makes subsequent PC distributions more
> Gaussian, which fits the assumption of ASR. Also, the proposed method seems
> to be able to explain, at least partially, the reason why the
> conventional empirically recommended values for the cutoff SD are unusually
> high, such as SD == 20. We will show both simulation and empirical results.
> Check out the MoBI 2022 conference!
>
> Makoto
>
> On Sat, Mar 12, 2022 at 11:46 AM Velu Prabhakar Kumaravel via eeglablist <
> eeglablist at sccn.ucsd.edu> wrote:
>
> > Hello EEGLABers,
> >
> > You might all know of the Artifacts Subspace Reconstruction (ASR)
> > algorithm, an efficient algorithm especially to deal with
> non-stereotypical
> > artifacts (prevalent in mobile EEG and/or developmental EEG). ASR has a
> > user-defined parameter (ASR cut-off, k), which is set to 20, by default.
> > This value should work in most cases, however, it would be valuable to
> find
> > the optimal value for your datasets.
> >
> > In our Newborns EEG Artifacts Removal (NEAR
> > <
> >
> https://urldefense.proofpoint.com/v2/url?u=https-3A__www.sciencedirect.com_science_article_pii_S1878929322000123&d=DwIBaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=j1r5OrQy6HMNTNYtzCAuvh_-7ZoAcHj0JoPEHnmvWsG-tfFHZVxF5a1OUYVuDzGk&s=UqF8-uu_HoSLuhsrW2mpvLy3vaNc0wABmPRsjtrH2ag&e=
> > >)
> > pipeline, we proposed a systematic grid search approach to find the
> optimal
> > k. I wrote a short tutorial which can be found in this link
> > <
> >
> https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_vpKumaravel_vpKumaravel.github.io_wiki_How-2Dto-2Dfind-2Dthe-2Doptimal-2Dhyperparameter-2Dfor-2DArtifacts-2DSubspace-2DReconstruction-2D-28ASR-29-2Dalgorithm-2Dto-2Dclean-2DEEG-2Dartifacts-253F&d=DwIBaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=j1r5OrQy6HMNTNYtzCAuvh_-7ZoAcHj0JoPEHnmvWsG-tfFHZVxF5a1OUYVuDzGk&s=5HGabx27vchRkelZqWRzWDTatD1X1sWTMWfFwDZm-F0&e=
> > >along
> > with the EEGLAB compatible MATLAB code.
> >
> > Hope this is useful and let me know your feedback in case you tried it
> out.
> >
> > Best regards,
> >
> > Velu Prabhakar Kumaravel, Ph.D. Student
> > Center for Mind/Brain Sciences,
> > University of Trento, Italy
> > _______________________________________________
> > 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
> >
> _______________________________________________
> 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
>