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Hi James,<br>
I had the same problem with running ICA on continuous data from 128
channel biosemi data. My solution was to down-sample the data from
2048Hz to 512Hz or 256Hz before running the ICA. Assuming the high
sampling rate is not crucial for your purposes, you can get ICA
completed overnight (definitely at 256Hz).<br>
<br>
EEGLAB experts can advise more on the effect of sampling rate on ICA
resolution, but I have got quite robust results with 256Hz data.<br>
<br>
C<br>
<br>
<br>
<div class="moz-cite-prefix">On 07/07/12 01:40, Stephen
Politzer-Ahles wrote:<br>
</div>
<blockquote
cite="mid:CAJT2k_-XX5sGLgaTjaCaDBoXWDQq9MzApVfn4s5rGcAfky0LyA@mail.gmail.com"
type="cite">
<div>Hi James,</div>
<div> </div>
<div>I've never run ICA on continuous data so I don't have a
feeling for how long yours should be taking; but one thing you
can do that I imagine will sped things up significantly is to
epoch the dataset, if that is an option for you; my
understanding is that, while running ICA on continuous data is
the best, you can still get acceptable decompositions from
epoched data if your epochs are big enough and not too noisy.</div>
<div> </div>
<div>There are also some other algorithms available, like fastica
and binica, that are supposed to be faster; I've never tried
them so I'm not sure what the other consequences of using those
rather than runica might be.</div>
<div> </div>
<div>Best,</div>
<div>Steve<br>
<br>
</div>
<div class="gmail_quote">On Fri, Jul 6, 2012 at 8:24 AM, James
Schaeffer <span dir="ltr"><<a moz-do-not-send="true"
href="mailto:schaefj3@gmail.com" target="_blank">schaefj3@gmail.com</a>></span>
wrote:<br>
<blockquote style="margin:0px 0px 0px
0.8ex;padding-left:1ex;border-left-color:rgb(204,204,204);border-left-width:1px;border-left-style:solid"
class="gmail_quote">
<p style="margin-bottom:0in">Dear eeglablist, </p>
<p style="margin-bottom:0in">I am running ICAs on 10 minutes
of
Biosemi EEG data, collected from 128 channels, and sampled
at 2048
Hz. However, the ICAs have been running for a few days
without much
progress. Two computers have 8G RAM and an Intel(R) Xeon(TM)
CPU
2.80GHz. One has been running an ICA for 6 days and is on
step 33;
the other, for 4 days, and is on step 28. Another computer
has 12G
RAM and an Intel(R) Xeon(R) CPU 5110 @ 1.60GHz; it has been
running
for 3 days and is on step 60. All are running openSUSE 12.1
(x86_64),
with eeglab version 10.2.2.4b. The 'free' command indicates
that they
are not using any swap space. Should it be taking this
long?
Is it possible that we have more than the one copy of the
data in ram
or that Matlab or Eeglab has placed something else in ram,
or is busy
with other processes? Is there anything I can do to speed up
this
process? Any help would be greatly appreciated.</p>
<p>Thanks in advance,<br>
James </p>
<br>
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</blockquote>
</div>
<br>
<br clear="all">
<br>
-- <br>
Stephen Politzer-Ahles<br>
University of Kansas<br>
Linguistics Department<br>
<a moz-do-not-send="true" href="http://www.linguistics.ku.edu/">http://www.linguistics.ku.edu/</a><br>
<br>
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