[FieldTrip] Removing artifacts by ICA

[Erfan Vi]

Thank you for your complete response. Do you have example data to train
me with artifacts?

On Fri, Jun 9, 2023 at 8:45 PM Rodrigo Montefusco via fieldtrip <
fieldtrip at science.ru.nl> wrote:

> Dear Erfan-Vajdi
> In my brief experience, there are a couple of things you should do, in my
> humble opinion:
> 1.- Study the bases of the ICA, what you can do, what you can't... what is
> it good for and what is "not good" for.
> 2.- Explore a lot before applying it to your pipeline. Even knowing what
> it does, you should never trust completely a tool without testing it first
> to exhaustion.
> 3.- Train your eyes to detect the artifacts you are interested in
> removing. (pretty much reinforcing what I said in point 2).
> 4.- Develop a strategy to confront independent components rejection. If
> you are interested in removing an eyeblink component for example...do that,
> and do not remove components associated with muscle activity, for example.
> If you want to do both, it's ok... just stay consistent with your strategy.
> 5.- You can always perform a ft_timelockanalysis or a ft_freqanalysis on
> your component if you need extra information.
>
> That's for starters :)
>
> Good luck!
>
> RMS
>
> On Fri, Jun 9, 2023 at 11:56 AM Erfan Vi via fieldtrip <
> fieldtrip at science.ru.nl> wrote:
>
>> Dear FieldTrip users,
>> FieldTrip toolbox uses EEGLAB toolbox functions to implement ICA
>> decomposition to remove artifacts but it doesn't show spectrum power to
>> identify artifacts easily. On the other side, EEGLAB has automatic artifact
>> labeling to recognize artifacts with more precision. What can we do to
>> choose the correct artifact components to remove? Any document to train?
>> Thank you,
>> Erfan-Vajdi
>> _______________________________________________
>> fieldtrip mailing list
>> https://mailman.science.ru.nl/mailman/listinfo/fieldtrip
>> https://urldefense.com/v3/__https://doi.org/10.1371/journal.pcbi.1002202__;!!HJOPV4FYYWzcc1jazlU!6zfXGPkw5X2fJBiCwTACtault0nOD8-Gs4igS7rJlwXwSH92OYXYB3JznyYMaXn6Oj9jqQP1-0WWHm-UqHXIdVz19A$ 
>> <https://urldefense.com/v3/__https://doi.org/10.1371/journal.pcbi.1002202__;!!HJOPV4FYYWzcc1jazlU!4Rl0rbEeWBSWygP1FQYVU9lUF6iWA43hZOKUVLcIjoCDZFtB1IBg0ntLv41RAQztMURV1giH0XYqKNEQfK5GLx1a5RvZXac$>
>>
> _______________________________________________
> fieldtrip mailing list
> https://mailman.science.ru.nl/mailman/listinfo/fieldtrip
> https://urldefense.com/v3/__https://doi.org/10.1371/journal.pcbi.1002202__;!!HJOPV4FYYWzcc1jazlU!6zfXGPkw5X2fJBiCwTACtault0nOD8-Gs4igS7rJlwXwSH92OYXYB3JznyYMaXn6Oj9jqQP1-0WWHm-UqHXIdVz19A$ 
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.science.ru.nl/pipermail/fieldtrip/attachments/20230610/9c47adda/attachment.htm>