[Eeglablist] New noise removal plugin released: Zapline-plus

[Cedric Cannard]

Hello,

Thank you for sharing this new tool. Looking forward to trying it.

Does it work on single EEG channels (or low-density montages as with wearable systems) or does it require high-density montages to perform well?

Just curious, have you compared it to CleanLine (available in EEGLAB)?


Cedric Cannard



‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
On Thursday, March 24, 2022 5:31 AM, Marius Klug <marius.s.klug at gmail.com> wrote:

> Dear list,
>
> we are happy to announce that we released Zapline-plus, a new artifact
> removal tool, available for download in the EEGLAB plugins manager now!
>
> Zapline-plus (Klug & Kloosterman, 2022) is a wrapper for Zapline (de
> Cheveigné, 2020) that automatically removes spectral peaks like line noise
> or other oscillations (e.g. stemming from a VR display) from your data
> while ensuring minimal negative impact. It preserves both the non-noise
> spectrum for analysis, as well as the full data rank for subsequent ICA
> processing. It searches for noise frequencies (can also select line only),
> divides the data into spatially stable chunks, and adapts the cleaning
> strength automatically. Finally, a detailed plot is created that allows
> checking the cleaning in depth.
>
> A detailed guide for usage and interpretations of the plot can be found in
> our git repository: https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_MariusKlug_zapline-2Dplus&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=wbP5PlkQa6_ySLwuQmZU5o5ujtc10iYE6mO-XQLhS8o1iR7UvaP1hpSVBSaU6mhl&s=YAYPKsOoV-TL7zZTkeLSVHGomZegtK6bU643JMBGdvc&e=
>
> The plugin is published as an open-access paper and can be cited as follows:
>
> Klug, M., & Kloosterman, N. A. (2022). Zapline-plus: A Zapline extension
> for automatic and adaptive removal of frequency-specific noise artifacts in
> M/EEG. Human Brain Mapping,1–16. https://urldefense.proofpoint.com/v2/url?u=https-3A__doi.org_10.1002_hbm.25832&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=wbP5PlkQa6_ySLwuQmZU5o5ujtc10iYE6mO-XQLhS8o1iR7UvaP1hpSVBSaU6mhl&s=j8ROaEga0jUmAd_swgDFv5C12ibztk6ENG0VtqirPlw&e=
>
> de Cheveigne, A. (2020) ZapLine: a simple and effective method to remove
> power line artifacts. NeuroImage, 1, 1-13.
> https://urldefense.proofpoint.com/v2/url?u=https-3A__doi.org_10.1016_j.neuroimage.2019.116356&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=wbP5PlkQa6_ySLwuQmZU5o5ujtc10iYE6mO-XQLhS8o1iR7UvaP1hpSVBSaU6mhl&s=8r9J1RqyzNfwqw8ctz7mU1mbQ7uVHd3huMd0qCXYhjE&e=
>
> Any feedback about usability and functional issues is welcome.
> We hope you find this plugin useful and wish you success and happy cleaning!
>
> Regards,
> Marius Klug and Niels Kloosterman
>
> -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Marius Klug
> Research Associate / PhD Student at TU Berlin, Germany
> Department of Biological Psychology and Neuroergonomics
> +49 (0)30 314-79 528
> Project Homepage
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__blogs.tu-2Dberlin.de_bpn-5Fbemobil_projects_neuroergonomics-2Dof-2Dsituation-2Dawareness-2Dnesita_&d=DwIFaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=wbP5PlkQa6_ySLwuQmZU5o5ujtc10iYE6mO-XQLhS8o1iR7UvaP1hpSVBSaU6mhl&s=apCVZ01yHBhUG-VfgdLTuuiktGW9taRmLAUBjgj5orc&e= >
>
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