[Eeglablist] (no subject)
arno at salk.edu
Tue Mar 8 08:33:23 PST 2005
> I am working on applying methods from nonlinear time series analysis
> on eeg. Currently, I have a problem with noise removal. I had earlier
> used the nonlinear filter given with the Tisean package. I would like
> to know about applying ICA on single channel eeg for noise removal. Is
> ICA simialr to PCA? Is there a reference I can read to get started?
You can see ICA as a generalization of PCA where the constraint about
axis orthogonality is released so it can better capture the statistics
of multi-dimensional data. Standard ICA is designed to separate N
sources from N sensors. If you only have 1 sensor, then you must use
over-complete ICA. I suggest that you send a message to the ICA mailing
list (icalist at inf.enst.fr) for more information about this technical issue.
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