<html><head><meta http-equiv="Content-Type" content="text/html charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class="">Yes, EEGLAB cannot do that. If you want to run ICA, simply convert them to continuous data and then you will have no problem merging them.<div class="">From the command line</div><div class=""><br class=""></div><div class="">EEG.pnts = EEG.pnts*EEG.trials;</div><div class="">EEG.trials = 1;</div><div class="">EEG = eeg_checkset(EEG);<br class=""><div class="">eeglab redraw</div><div class=""><br class=""></div><div class="">Arno</div><div class=""><br class=""><div><blockquote type="cite" class=""><div class="">On Apr 29, 2016, at 11:57 AM, matt schalles <<a href="mailto:matt.schalles@gmail.com" class="">matt.schalles@gmail.com</a>> wrote:</div><br class="Apple-interchange-newline"><div class=""><meta http-equiv="Content-Type" content="text/html; charset=utf-8" class=""><div dir="ltr" class="">Greetings, I'm processing datasets with multiple experiments in a single recording session. The time between experiments is noisy and laden with artifacts. I'd like to extract the relevant epochs for each experiment to reduce noisy segments of data and then concatenate them for finding source estimates before splitting them apart to analyze separately. I'm running into difficulty with pop_mergeset wanting the sets to have homogenous epoch lengths. Anyone else deal with this problem before?<br class=""><div class=""><br class=""></div><div class="">cheers,<br class=""><br clear="all" class=""></div><div class=""><div class=""><div class="gmail_signature"><div dir="ltr" class=""><div class=""><div dir="ltr" class=""><div class=""><div dir="ltr" class="">Matt Schalles, Ph.D.<div class=""><font size="1" class="">Cognitive Neuroscientist, VA Health System<br class=""></font></div><div class=""><font size="1" class="">Visiting Assistant Professor, Mills College<br class=""></font></div></div></div></div></div></div></div></div>
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