[Mne_analysis] summary performance for ICA

[Denis-Alexander Engemann]

Hi Yuhan,

for the moment it would be great to just receive some feedback about it
works for your data.
I need to update the script, during the last week I singled out a series of
issues with filtering, which are relevant
for certain datasets. I still need to update this example accordingly. It
will be more important to converge on and decide about the most general and
relevant use cases before wrapping it in function. Also note that this is
specifically fitted to MEG and EEG datasets which come with EOG and ECG
recordings. The idea would be end up with a good preprocessing script that
does the job well in 80% of the cases.

Feel free to keep me posted about how it goes for you and don't hesitate to
ask me if something is not clear or behaves unexpectedly.

Best,
Denis





2014-11-03 22:32 GMT+01:00 Chen, Yu-han <CHENY4 at email.chop.edu>:

>  Thanks Dennis! This is very helpful.
>
>  I'm also trying to make the preprocessing script later become a
> function. I will let you know how it goes.
>
>  Best, Yuhan
>
>   From: Denis-Alexander Engemann <denis.engemann at gmail.com>
> Reply-To: Discussion and support forum for the users of MNE Software <
> mne_analysis at nmr.mgh.harvard.edu>
> Date: Monday, November 3, 2014 3:38 PM
> To: The Children's Hospital of Philadelphia The Children's Hospital of
> Philadelphia <cheny4 at email.chop.edu>
> Cc: "<Mne_analysis at nmr.mgh.harvard.edu>" <Mne_analysis at nmr.mgh.harvard.edu
> >
> Subject: Re: [Mne_analysis] summary performance for ICA
>
>  become
>
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