<div dir="ltr">Dear Santosh,<div><br></div><div>Go through this tutorial first.</div><div><a href="http://sccn.ucsd.edu/eeglab/eeglabtut.html">http://sccn.ucsd.edu/eeglab/eeglabtut.html</a><br></div><div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Jul 28, 2015 at 2:47 AM, santosh biradar <span dir="ltr"><<a href="mailto:santosh.a.biradar123@gmail.com" target="_blank">santosh.a.biradar123@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">Hi brothers and sisters <div><br></div><div>I am new to eeg processing I now installed Matlab in my lap please guide me how I can go step by step for EEG processing </div><div><br></div><div>Thanks in advance </div></div><div class="HOEnZb"><div class="h5"><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Jun 30, 2015 at 1:32 AM, 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:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Dear Amin,<span><div><br></div><div><span style="font-family:arial,helvetica,sans-serif;font-size:12.6666669845581px">> I need you guidance on how to extract trials and the use these trials to make a feature vector to train the ann????</span><br></div><div class="gmail_extra"><br></div></span><div class="gmail_extra">You need event markers first. If you do, then you can write a simple for loop, or use mcolon() to extract epochs... you can of course use EEGLAB to do it.</div><div class="gmail_extra"><br></div><div class="gmail_extra"><span><div style="font-size:12.8000001907349px"><span style="font-family:arial,helvetica,sans-serif">> Another question is that should i use the 3 channels or one of them is sufficient?</span></div><div><span style="font-family:arial,helvetica,sans-serif"><br></span></div></span><div><span style="font-family:arial,helvetica,sans-serif">Use all the channels and find the best one from results. Alternatively, run ICA on all the channels and use the one that looks like signal.</span></div><div><span style="font-family:arial,helvetica,sans-serif"><br></span></div><div><span style="font-family:arial,helvetica,sans-serif">Makoto</span></div></div><div class="gmail_extra"><br><div class="gmail_quote"><div><div>On Mon, Jun 22, 2015 at 12:14 PM, Amin SHahamiri <span dir="ltr"><<a href="mailto:aminshahamiri@gmail.com" target="_blank">aminshahamiri@gmail.com</a>></span> wrote:<br></div></div><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"><span style="font-size:12.8000001907349px">Hi to all specialist.</span><div style="font-size:12.8000001907349px">I am a post graduate student and my thesis is around recognizing and classifying brain signals.</div><div style="font-size:12.8000001907349px">I've been having problem splitting the signals into the trials that I can train a artificial neuron network.</div><div style="font-size:12.8000001907349px">I've been using a dataset from BCI Competition 2008 "Graz dataset B" and I load the signal via this command :</div><div style="font-size:12.8000001907349px"><br></div><div style="font-size:12.8000001907349px"><font face="monospace, monospace" size="4">[s , h] = sload('B0101T.gdf')</font></div><div style="font-size:12.8000001907349px"><font face="monospace, monospace" size="4"><br></font></div><div style="font-size:12.8000001907349px"><font face="arial, helvetica, sans-serif">and it loads signals as s and header as h into the workspace. s includes 6 columns refer to C3 , C4 and Cz. h includes 3 sub-variables as h.EVENT.POS (position of occurrence) h.EVENT.TYP ( type ) and h.EVENT.DUR ( duration).</font></div><div style="font-size:12.8000001907349px"><span style="font-family:arial,helvetica,sans-serif">I need you guidance on how to extract trials and the use these trials to make a feature vector to train the ann????</span></div><div style="font-size:12.8000001907349px"><span style="font-family:arial,helvetica,sans-serif">Another question is that should i use the 3 channels or one of them is sufficient?</span></div><div style="font-size:12.8000001907349px"><span style="font-family:arial,helvetica,sans-serif">I appreciate your response.</span></div><div style="font-size:12.8000001907349px"><span style="font-family:arial,helvetica,sans-serif">Thanks a lot. </span></div>
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</div></div></blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature"><div dir="ltr">Makoto Miyakoshi<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br></div></div>
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