<div dir="ltr"><div class="gmail_default" style="color:#333399">Hi Luuk, some quick thoughts below, best wishes.</div><div class="gmail_default" style="color:#333399"><br></div><div class="gmail_default" style="color:#333399">See the eeglab function list for a funciton like epoch2continuous or vice versa (the name of the function might be slightly different than what I remember). ERPLAB also has a similar function I believe. </div><div class="gmail_default" style="color:#333399"><br></div><div class="gmail_default" style="color:#333399">What you are trying to do should work as long as you don't have missing data between your 3.5 sec epochs. But do note that some time samples may be dropped when you do 3.5s epoching. </div><div class="gmail_default" style="color:#333399"><br></div><div class="gmail_default" style="color:#333399">With simple matlab coding one can also "join up the existing epochs" into a continuous signal. </div><div class="gmail_default" style="color:#333399"><br></div><div class="gmail_default" style="color:#333399">For sanity's sake, I would recommend having two kinds of epoched data sets computed earlier in your pipeline.</div><div class="gmail_default" style="color:#333399"><br></div><div class="gmail_default" style="color:#333399">If you haven't had a chance to, try googling eeglablist + your topic.</div><div class="gmail_default" style="color:#333399"><br></div><div class="gmail_default" style="color:#333399">Thanks for letting the list know if you come up with a satisfactory solution, so that other users can benefit from your experiences.</div><div class="gmail_default" style="color:#333399"><br></div><div class="gmail_default" style="color:#333399"><br></div><div class="gmail_default" style="color:#333399"><br></div><div class="gmail_default" style="color:#333399"><br></div><div class="gmail_default" style="color:#333399"><br></div><div class="gmail_default" style="color:#333399"><br></div><div class="gmail_default" style="color:#333399"><br></div></div><div class="gmail_extra"><br><div class="gmail_quote">On Thu, Mar 22, 2018 at 5:22 AM, Luuk Lamens <span dir="ltr"><<a href="mailto:luuklamens94@gmail.com" target="_blank">luuklamens94@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div><div><div><div>Dear all,<br><br></div>I have already epoched datasets to epochs of 3.5s in length, however right now I want to take a look at epochs of 10s in length. Is there an easy way to undo the epoching so I have a continuous dataset which I can epoch again but now with longer epochs? (I have the original EEG datasets however these need to be filtered/re-referenced etc again and this takes approx. 30 min per dataset and I have about 60 datasets so if only this epoching step can be undone this would save a lot of time :) ).<br><br></div>With kind regards,<br></div>Luuk Lamens<br></div><div>University of Amsterdam<br></div></div>
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