Hi Alexandra,<br>
<br>
If I understand your problem correctly, the only thing you have to do
is to overwrite with zeros that component which you would like to
discard. After this you can make the inverse transformation.<br>
<br>
Miklos<br>
<br>
-- <br>
Miklos Argyelan MD, MSc<br>
<br>
SUNY Downstate Medical Center<br>
450 Clarkson Ave, New York, NY, 11203<br>
tel: +1-718-270-2975<br>
<br><div><span class="gmail_quote">On 3/2/06, <b class="gmail_sendername">Vuckovic, Aleksandra</b> <<a href="mailto:vuckovic@essex.ac.uk">vuckovic@essex.ac.uk</a>> wrote:</span><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
Hello,<br><br>I would like to remove eye movement artefacts from EEG signals. I saw<br>that ICA is very efficient in it. However I would like to work on EEG<br>data not on ICA components. I have 64 channels EEG. So when I perform
<br>ICA, EOG will be one component which I can discard. However if I now<br>want to perform inverse transformation I have a problem: 63 ICA<br>components and 64 EEG channels. Does anybody have a suggestion how to<br>solve the problem? Would it help adding a dummy component of a constant
<br>value around 0, and then performing inverse ICA?<br><br>Thanks a lot in advance!<br><br>Aleksandra Vuckovic<br><br>_______________________________________________<br>eeglablist mailing list <a href="mailto:eeglablist@sccn.ucsd.edu">
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