[Eeglablist] Automatic ICs rejection from the EEG data in MNE Python

[Scott Makeig]

Rab -  I would still look at ICLabel -   the application code is  not
elaborate and could be translated to python fairly easily I imagine.  The
training code is already in python.  The author is Luca Pion-Tonalchini .
I'll send you his email.

Scott

On Wed, Feb 23, 2022 at 11:06 AM Rab Nawaz <13mseerabnawaz at seecs.edu.pk>
wrote:

> Scott Makeig, thanks for the prompt reply. Actually the major goal of the
> project is creating a user interface for clinical purposes and the
> development of the GUI is based in Python. Therefore we are trying to
> incorporate all the modules in the same coding environment Python from the
> beginning.
>
> *Rab Nawaz,* B.Engg., Ph.D.
> Postdoctoral research associate
>
>
> On Wed, Feb 23, 2022 at 3:57 PM Scott Makeig <smakeig at gmail.com> wrote:
>
>> Rab -
>>
>> Why not try running open source EEGLAB/Matlab tools on open source
>> Octave?  Arno has worked to insure this is possible ...  I would recommend
>> you try Luca Pion-Tonacdhini's ICLabel.
>>
>> Scott Makeig
>>
>> On Wed, Feb 23, 2022 at 10:55 AM Rab Nawaz via eeglablist <
>> eeglablist at sccn.ucsd.edu> wrote:
>>
>>> Hi EEGLABers,
>>>
>>>
>>>
>>> As in the EEGLAB we know there are multiple ICA classification methods
>>> available as a plugins (MARA (Winkler et al., 2011), ADJUST (Mognon et
>>> al.,
>>> 2011), SASICA, IC-MARC) for some near-automatic methods for removing
>>> unhealthy ICs to clean the data from artifacts.
>>>
>>>
>>>
>>> I am restricted to use an open-source tool therefore I choose Python. I
>>> am
>>> trying to perform data cleaning based on the ICA in MNE Python and
>>> looking
>>> for something automatic that helps in automatic ICs rejection. In MNE
>>> Python, there is a template matching method that uses the artifacted ICs
>>> from one person as ground and correlates it with the ICs of new EEG to
>>> pick
>>> the ICs which have strong correlation with the artifacted one. But, I am
>>> looking for something similar to the implementation of MARA or ADJUST in
>>> MNE Python. Do you know any materials that can help me in this regard? Or
>>> something else (other than template matching) that can help in selecting
>>> the artifacted ICs automatically in Python?
>>>
>>>
>>>
>>> Thanks
>>>
>>> Rab
>>> _______________________________________________
>>> 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
>>>
>>
>>
>> --
>> Scott Makeig, Research Scientist and Director, Swartz Center for
>> Computational Neuroscience, Institute for Neural Computation, University of
>> California San Diego, La Jolla CA 92093-0559, http://sccn.ucsd.edu/~scott
>>
>

-- 
Scott Makeig, Research Scientist and Director, Swartz Center for
Computational Neuroscience, Institute for Neural Computation, University of
California San Diego, La Jolla CA 92093-0559, http://sccn.ucsd.edu/~scott