[Eeglablist] EEGLAB ASR algorithm information
Makoto Miyakoshi
mmiyakoshi at ucsd.edu
Fri Mar 29 09:17:49 PDT 2024
Hi Efthymios,
Chiyuan's explanation is the best. You don't need to read any other papers
if your goal is to understand the ASR algorithm.
Evaluation of Artifact Subspace Reconstruction for Automatic Artifact
Components Removal in Multi-Channel EEG Recordings
https://urldefense.com/v3/__https://ieeexplore.ieee.org/document/8768041__;!!Mih3wA!HthFkM61wOps1IRFUvM9JXmLqzFUPeZZXx04pWauCdEiYbWhkek4IB7YeJINHEji8TOSsdwWLqENs4b3TfbewpJOpWc$
Here is a recent commentary on the ASR. You can find additional information
about it.
Artifact subspace reconstruction: a candidate for a dream solution for EEG
studies, sleep or awake
https://urldefense.com/v3/__https://academic.oup.com/sleep/article/46/12/zsad241/7275639__;!!Mih3wA!HthFkM61wOps1IRFUvM9JXmLqzFUPeZZXx04pWauCdEiYbWhkek4IB7YeJINHEji8TOSsdwWLqENs4b3TfbeEHuXLZA$
Hyeonseok and I wrote a paper on a modified version of ASR. It's under
review. We proposed an idea of sampling single data points instead of
windows for the 'reference data' in case input data be contaminated by
high-amplitude artifacts with short intervals (<0.5 s) such as motion
artifacts from performing three-ball juggling. I'll give you an update here
when it's accepted. In the paper, we also (and finally) clarified the
reason why ASR uses crazily high SD values for cutoff thresholds such as
SD==20. It's briefly mentioned in the above commentary as well, but much
more detailed in this manuscript.
Makoto
On Fri, Mar 29, 2024 at 11:39 AM Velu Prabhakar Kumaravel via eeglablist <
eeglablist at sccn.ucsd.edu> wrote:
> Hello Efthymios,
>
> Here are some links that work:
>
>
> https://urldefense.com/v3/__https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4710679/__;!!Mih3wA!Cv9tYxncFIEqAy8phuAlogvHOqqCP67VmN2l7K5KG4Tu6VkfCxZ6BSYaeQwEHtntsEro6C7xn5Q-mXNx5xH_TtwmxEAEIl_O$
> https://sccn.ucsd.edu/githubwiki/files/asr-final-export.pdf
>
> https://urldefense.com/v3/__https://eeglab.org/tutorials/06_RejectArtifacts/cleanrawdata.html__;!!Mih3wA!Cv9tYxncFIEqAy8phuAlogvHOqqCP67VmN2l7K5KG4Tu6VkfCxZ6BSYaeQwEHtntsEro6C7xn5Q-mXNx5xH_TtwmxNZT7Pgu$
>
> Best,
>
> Velu Prabhakar Kumaravel
>
>
> On Fri, 29 Mar 2024 at 15:48, Efthymios Papatzikis via eeglablist <
> eeglablist at sccn.ucsd.edu> wrote:
>
> > Dear List,
> >
> > I am trying to find more information on the EEGLAB ASR algorithm. I
> > searched at the EEGLAB Wiki, however, on the ASR dedicated page the
> > ‘Appendix’ hyperlink claiming to point to more information on the ASR
> does
> > not work.
> >
> > Any suggestions on where I can find this information?
> >
> > TIA
> >
> > Efthymios
> >
> >
> >
> >
> > Dr. Efthymios (Timos) Papatzikis QTS, FHEA
> > Dip.Mus, BMEd, MMus, PhD in Music Psychology, Prof.Cert.Ed., Cert.Neuro.
> > - Associate Professor of Infant Brain Development, Department of Early
> > Childhood Education and Care, Oslo Metropolitan University, Norway
> > - Member of the Advanced Health Intelligence and Brain-Inspired
> > Technologies (ADEPT) Research Group, OsloMet, Norway
> > - World Health Organization certified specialist for Social Prescribing
> > - Board Member of the Bright Start Foundation for Maternal and Child
> > Health, Geneva, Switzerland
> > - Associate Editor - Frontiers in Pediatric Psychology Journal
> > - Guest Editor - Frontiers in Pediatrics (Special research topic “Medical
> > Neurohumanities in pediatric care <
> >
> https://urldefense.com/v3/__https://www.frontiersin.org/research-topics/56286/medical-neurohumanities-sharing-insights-from-medicine-neuroscience-and-music-in-pediatric-care?utm_source=F-RTM&utm_medium=TED1&utm_campaign=PRD_TED1_T1_RT-TITLE__;!!Mih3wA!FQz-0wb0cVqwgWG9CATg7Kxy2nihIwzpIB5nOKFTxT1bZ5-zP0oQqIzVKx89XfdMjByW3Dy1StZvLDqZScGzFaWcaZBL$
> > >”)
> >
> > Click to my Profile <
> >
> https://urldefense.com/v3/__https://www.oslomet.no/en/about/employee/efthymio/__;!!Mih3wA!FQz-0wb0cVqwgWG9CATg7Kxy2nihIwzpIB5nOKFTxT1bZ5-zP0oQqIzVKx89XfdMjByW3Dy1StZvLDqZScGzFSCS6_y2$
> > > for more info
> >
> > Oslo Metropolitan University (OsloMet)
> > Pilestredet 42,
> > 0167 Oslo
> > Norway
> > Office: Q4024
> > Office telephone: +4767237987
> >
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