[FieldTrip] SVD and ICA

[Lozano Soldevilla, D. (Diego)]

Hi Federico,

You might want to have a look to the different ICA algorithms ft_componentanalysis has and see how to choose the proper option. For example, if you select cfg.method='runica' then cfg.runica.pca = number of components you want to reduce your data.

Check help ft_componentanalysis for details

best,
Diego


----- Original Message -----
> From: "Federico Grande" <fgrande at cbs.mpg.de>
> To: fieldtrip at science.ru.nl
> Sent: Friday, 10 January, 2014 3:54:56 PM
> Subject: [FieldTrip] SVD and ICA
> Hello everyone,
> 
> In order to remove the artefacts like blink eyes or hearbeat, I wanted
> to apply ICA to my data. I've been told that is better to apply first
> SVD and then ICA, but I don't really know how to apply it. What do you
> recommend me in order to do it? I've not found any tutorial for doing
> it. All help and information ins greatly welcomed.
> 
> Thank you very much,
> 
> King Regards,
> 
> Federico Grande
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> fieldtrip at donders.ru.nl
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-- 
PhD Student
Neuronal Oscillations Group
Donders Institute for Brain, Cognition and Behaviour 
Centre for Cognitive Neuroimaging
Radboud University Nijmegen 
NL-6525 EN Nijmegen
The Netherlands
http://www.ru.nl/people/donders/lozano-soldevilla-d/