<div dir="ltr">Dear Patrick,<div><br></div><div><span style="font-family:tahoma,sans-serif">> Will the 100th channel still match the 100th channel of the other datasets or will they be out of synch?</span><br><div class="gmail_extra">
<br></div><div class="gmail_extra">If you remove ch10, then your new ch10 is your previous ch11; thus channel numbers will be out of synch (the channels names don't change, of course...) If you don't like it you may want to interpolate the missing channel(s) after ICA.</div>
<div class="gmail_extra"><br></div><div class="gmail_extra"><span style="font-family:tahoma,sans-serif">> So for some subjects there are some channels that are really really bad, all over the place, range of Mv is about ±5000!!!!.</span><br>
<br>Try 'firstPassOutlierTrimmer' on this page. It'll show you a visualization of simple summary over both channels and data points. Let me know if you encounter a bug. </div><div class="gmail_extra"><br><a href="http://sccn.ucsd.edu/wiki/Plugin_list_process" target="_blank">http://sccn.ucsd.edu/wiki/Plugin_list_process</a></div>
<div class="gmail_extra"><br></div><div class="gmail_extra">Makoto<br><br><br><div class="gmail_quote">2013/10/10 Bedard, Patrick <span dir="ltr"><<a href="mailto:patrick_bedard@brown.edu" target="_blank">patrick_bedard@brown.edu</a>></span><br>
<blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex"><div dir="ltr"><div style="font-family:tahoma,sans-serif;font-size:small">
Hi <br><br>OK I'm starting to understand now....<br>So for some subjects there are some channels that are really really bad, all over the place, range of Mv is about ±5000!!!!. I Think I should remove that channel and not interpolate it. If I remove that channel, how will that affect subsequent analysis as now that dataset will have less channels than the other ones. Will the 100th channel still match the 100th channel of the other datasets or will they be out of synch?<br>
<br></div><div style="font-family:tahoma,sans-serif;font-size:small">thanks<br>pat<br></div><div><div><div style="font-family:tahoma,sans-serif;font-size:small"><br><br><br><br></div><div class="gmail_extra">
<br><br><div class="gmail_quote">On Fri, Sep 27, 2013 at 11:04 PM, Makoto Miyakoshi <span dir="ltr"><<a href="mailto:mmiyakoshi@ucsd.edu" target="_blank">mmiyakoshi@ucsd.edu</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex"><div dir="ltr">Dear Bedard,<div><br></div><div>That's a good question. If you discard more channels you can save more trials; if you discard more trials you can save more channels. EEG preprocessing starts exactly from finding an optimum balance in this trade-off!</div>
<div>
<div><br></div><div><div style="font-family:tahoma,sans-serif">> Is there a way to remove bad epoch for each channel independently?<br></div></div><div><br></div></div><div>Usually no, at least not from GUI. However there are ways to do it... if you want to try our alpha-version plugin for it let us know.</div>
<div><br></div><div>Makoto</div><div class="gmail_extra"><br><br><div class="gmail_quote">2013/9/24 Bedard, Patrick <span dir="ltr"><<a href="mailto:patrick_bedard@brown.edu" target="_blank">patrick_bedard@brown.edu</a>></span><br>
<blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex"><div><div><div dir="ltr"><div style="font-family:tahoma,sans-serif;font-size:small">
Hello all,<br></div><div style="font-family:tahoma,sans-serif;font-size:small">I'm fairly new to EEG processing.<br>
</div><div style="font-family:tahoma,sans-serif;font-size:small">Upon removing a bad channel I realized, after viewing the data, that it was because of 1 bad epoch. So I though if removing tat bad epoch to save that channel, but then I realized that that epoch would be removed for all channels.<br>
</div><div style="font-family:tahoma,sans-serif;font-size:small">Is this right?<br></div><div style="font-family:tahoma,sans-serif;font-size:small">Is there a way to remove bad epoch for each channel independently?<br>
</div><div style="font-family:tahoma,sans-serif;font-size:small">If not what should I do?<br><br>thanks<span><font color="#888888"><br clear="all"></font></span></div><span><font color="#888888"><br>-- <br>
<span style="font-family:tahoma,sans-serif">--------------------<br>
Patrick Bédard, PhD</span><br style="font-family:tahoma,sans-serif"><span style="font-family:tahoma,sans-serif">Neuroscience Dept. </span><br style="font-family:tahoma,sans-serif"><span style="font-family:tahoma,sans-serif">Brown University</span>
</font></span></div>
<br></div></div><div>_______________________________________________<br>
Eeglablist page: <a href="http://sccn.ucsd.edu/eeglab/eeglabmail.html" target="_blank">http://sccn.ucsd.edu/eeglab/eeglabmail.html</a><br>
To unsubscribe, send an empty email to <a href="mailto:eeglablist-unsubscribe@sccn.ucsd.edu" target="_blank">eeglablist-unsubscribe@sccn.ucsd.edu</a><br>
For digest mode, send an email with the subject "set digest mime" to <a href="mailto:eeglablist-request@sccn.ucsd.edu" target="_blank">eeglablist-request@sccn.ucsd.edu</a><br></div></blockquote></div><span><font color="#888888"><br>
<br clear="all"><div><br></div>
-- <br><div dir="ltr">Makoto Miyakoshi<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br></div>
</font></span></div></div>
</blockquote></div><br><br clear="all"><br>-- <br><span style="font-family:tahoma,sans-serif">--------------------<br>Patrick Bédard, PhD</span><br style="font-family:tahoma,sans-serif"><span style="font-family:tahoma,sans-serif">Neuroscience Dept. </span><br style="font-family:tahoma,sans-serif">
<span style="font-family:tahoma,sans-serif">Brown University</span>
</div></div></div></div>
</blockquote></div><br><br clear="all"><div><br></div>-- <br><div dir="ltr">Makoto Miyakoshi<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br></div>
</div></div></div>