<div dir="ltr">Dear Lemya,<div><br></div><div>Check this page</div><div><a href="http://sccn.ucsd.edu/wiki/Plugin_list_process">http://sccn.ucsd.edu/wiki/Plugin_list_process</a><br></div><div>You may want to try 'clean_rawdata'. This enables to clean continuous data without discarding datapoints (use -1 to disable rejection functions). clean_burst is phenomenal.</div>
<div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><br><div class="gmail_quote">2013/9/30 Lemya Kacha <span dir="ltr"><<a href="mailto:lem84kachaman@gmail.com" target="_blank">lem84kachaman@gmail.com</a>></span><br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div>Dear Miyakoshi San,</div><div><br></div><div>Thank you very much for your reply.</div><div><br></div><div>So, as a beginner in EEGlab and EEG studies, what I have understood from your reply is that it is quite impossible to insert event markers if we didn't define markers from the beginning. Right?</div>
<div><br></div><div>Actually, we want to avoid dividing the signal into small portions of 10 seconds each, each portion is related to a different stimulus. And then reject the artifacts from each portion separately. </div>
<div>However, this will affect the timing between the stimuli and the signal portions. </div><div><br></div><div>What we want ask is: </div><div>Is it possible to reject the artifacts without changing the time related to each portion of the signal? (if we reject the artifacts, time or duration of the signal will be reduced).</div>
<div><br></div><div><br></div><div><br></div><div>Thank you very much in advance</div><span class="HOEnZb"><font color="#888888"><div><br></div>Kacha Lemya </font></span><div class="HOEnZb"><div class="h5"><div><span></span><br>
<br>On Tuesday, October 1, 2013, Makoto Miyakoshi wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div dir="ltr">Dear Lemya,<div><br></div><div>Unless you have a completely synched event marker stream, most likely that can't be helped. If you do, of course you can insert new event markers.</div><div><br></div><div>
Makoto (nice to hear from Nagoya!)</div><div><br></div><div><br></div></div><div class="gmail_extra"><br><br><div class="gmail_quote">2013/9/30 Lemya Kacha <span dir="ltr"><<a>lem84kachaman@gmail.com</a>></span><br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><p style="margin:0px;white-space:pre-wrap;color:rgb(51,51,51);font-family:'lucida grande',tahoma,verdana,arial,sans-serif;font-size:13px;line-height:17px">
Dear All,</p><p style="margin:10px 0px 0px;white-space:pre-wrap;color:rgb(51,51,51);font-family:'lucida grande',tahoma,verdana,arial,sans-serif;font-size:13px;line-height:17px">
i did an experiment using Epoc Emotiv research edition by presenting 74 streetscape images to 20 subjects.
The experiment was done in two sessions with the same photos.
The problem that I encountered now is that I didn't insert the markers in all the experiments. when I want to filter the data and reject the artifacts, i risk to have a problem of timing between the presented pictures and their related signal that might not correspond exactly to the flow of the images presented to subjects.</p>
<p style="margin:10px 0px 0px;white-space:pre-wrap;color:rgb(51,51,51);font-family:'lucida grande',tahoma,verdana,arial,sans-serif;font-size:13px;line-height:17px">my question is:
Is there any solution to insert markers in this phase (offline)?</p><div>Thank you in advance.</div><span><font color="#888888"><div><br></div><div>Kacha Lemya</div><div>Nagoya Institute of Technology </div>
<div>Japan</div><div><br></div><div><br></div>
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-- <br><div dir="ltr">Makoto Miyakoshi<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br></div>
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</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>
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