<font color="#333399"><div><font color="#333399">Hello Shayan,</font></div><div><br></div><div>let me know if this helps a little..</div><div><font color="#333399"><br></font></div><div><font color="#333399">As it seems you are new to eeglab, please be sure to review the EEGLAB wiki and tutorial.</font></div>
<div>Please also remember you can always search for your answer first </div><div>via Google and on the archives of eeglablist.</div><div><br></div><div>Your questions seems to be about epoching the .raw files that you export from netstation.</div>
<div>After you have correctly imported the .raw files into eeglab, you should have no problem,</div><div>as long as your RAW files have basic event labels that eeglab can read.</div><div><br></div><div>Please see Chapter 5 [Extracting Data Epochs]</div>
<div>of Part 1 of the wiki manual on <a href="http://sccn.ucsd.edu/wiki/EEGLAB">http://sccn.ucsd.edu/wiki/EEGLAB</a>.</div><div>You should be able to go to Tools > Extra Epochs, and select STRT as the event marker,</div>
<div>and [-1000 1000] for the epoch length. This should create as many epochs </div><div>as possible from your eeglab file.</div><div><br></div><div>You can click directly to the Chapter 5 Extract Epochs link below.</div>
<div><br></div><div><br></div><div><span class="Apple-style-span" style="font-family:sans-serif;font-size:13px;line-height:19px;color:rgb(0,0,0)"><h4 style="color:black;background-image:none;background-color:initial;font-weight:bold;margin-top:0px;margin-right:0px;margin-bottom:0.3em;margin-left:0px;overflow-x:hidden;overflow-y:hidden;padding-top:0.5em;padding-bottom:0.17em;border-bottom-width:initial;border-bottom-style:none;border-bottom-color:initial;font-size:15px;background-repeat:initial initial">
<span class="mw-headline" id="I._Single_Subject_Data_Processing"><a href="http://sccn.ucsd.edu/wiki/I.Single_subject_data_processing_tutorial" title="I.Single subject data processing tutorial" style="text-decoration:none;color:rgb(0,43,184);background-image:none;background-color:initial;background-repeat:initial initial">I. Single Subject Data Processing</a></span></h4>
<div class="ncl-nicecategorylist"><div class="ncl-content ncl-content-bullet ncl-content-bullet-0"><ul style="line-height:1.5em;list-style-type:square;margin-top:0.3em;margin-right:0px;margin-bottom:0px;margin-left:1.5em;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px">
<li style="margin-bottom:0.1em"><span class="ncl-article"><a href="http://sccn.ucsd.edu/wiki/Chapter_01:_Loading_Data_in_EEGLAB" title="Chapter 01: Loading Data in EEGLAB" style="text-decoration:none;color:rgb(0,43,184);background-image:none;background-color:initial;background-repeat:initial initial">Chapter 01: Loading Data in EEGLAB</a></span></li>
<li style="margin-bottom:0.1em"><span class="ncl-article"><a href="http://sccn.ucsd.edu/wiki/Chapter_02:_Channel_Locations" title="Chapter 02: Channel Locations" style="text-decoration:none;color:rgb(0,43,184);background-image:none;background-color:initial;background-repeat:initial initial">Chapter 02: Channel Locations</a></span></li>
<li style="margin-bottom:0.1em"><span class="ncl-article"><a href="http://sccn.ucsd.edu/wiki/Chapter_03:_Plotting_Channel_Spectra_and_Maps" title="Chapter 03: Plotting Channel Spectra and Maps" style="text-decoration:none;color:rgb(0,43,184);background-image:none;background-color:initial;background-repeat:initial initial">Chapter 03: Plotting Channel Spectra and Maps</a></span></li>
<li style="margin-bottom:0.1em"><span class="ncl-article"><a href="http://sccn.ucsd.edu/wiki/Chapter_04:_Preprocessing_Tools" title="Chapter 04: Preprocessing Tools" style="text-decoration:none;color:rgb(0,43,184);background-image:none;background-color:initial;background-repeat:initial initial">Chapter 04: Preprocessing Tools</a></span></li>
<li style="margin-bottom:0.1em"><span class="ncl-article"><a href="http://sccn.ucsd.edu/wiki/Chapter_05:_Extracting_Data_Epochs" title="Chapter 05: Extracting Data Epochs" style="text-decoration:none;color:rgb(0,43,184);background-image:none;background-color:initial;background-repeat:initial initial">Chapter 05: Extracting Data Epochs</a></span></li>
<li style="margin-bottom:0.1em"><span class="ncl-article"><a href="http://sccn.ucsd.edu/wiki/Chapter_06:_Data_Averaging" title="Chapter 06: Data Averaging" style="text-decoration:none;color:rgb(0,43,184);background-image:none;background-color:initial;background-repeat:initial initial">Chapter 06: Data Averaging</a></span></li>
<li style="margin-bottom:0.1em"><span class="ncl-article"><a href="http://sccn.ucsd.edu/wiki/Chapter_07:_Selecting_Data_Epochs_and_Comparing" title="Chapter 07: Selecting Data Epochs and Comparing" style="text-decoration:none;color:rgb(0,43,184);background-image:none;background-color:initial;background-repeat:initial initial">Chapter 07: Selecting Data Epochs and Comparing</a></span></li>
<li style="margin-bottom:0.1em"><span class="ncl-article"><a href="http://sccn.ucsd.edu/wiki/Chapter_08:_Plotting_ERP_images" title="Chapter 08: Plotting ERP images" style="text-decoration:none;color:rgb(0,43,184);background-image:none;background-color:initial;background-repeat:initial initial">Chapter 08: Plotting ERP images</a></span></li>
<li style="margin-bottom:0.1em"><span class="ncl-article"><a href="http://sccn.ucsd.edu/wiki/Chapter_09:_Decomposing_Data_Using_ICA" title="Chapter 09: Decomposing Data Using ICA" style="text-decoration:none;color:rgb(0,43,184);background-image:none;background-color:initial;background-repeat:initial initial">Chapter 09: Decomposing Data Using ICA</a></span></li>
<li style="margin-bottom:0.1em"><span class="ncl-article"><a href="http://sccn.ucsd.edu/wiki/Chapter_10:_Working_with_ICA_components" title="Chapter 10: Working with ICA components" style="text-decoration:none;color:rgb(0,43,184);background-image:none;background-color:initial;background-repeat:initial initial">Chapter 10: Working with ICA components</a></span></li>
<li style="margin-bottom:0.1em"><span class="ncl-article"><a href="http://sccn.ucsd.edu/wiki/Chapter_11:_Time/Frequency_decomposition" title="Chapter 11: Time/Frequency decomposition" style="text-decoration:none;color:rgb(0,43,184);background-image:none;background-color:initial;background-repeat:initial initial">Chapter 11: Time/Frequency decomposition</a></span></li>
<li style="margin-bottom:0.1em"><span class="ncl-article"><a href="http://sccn.ucsd.edu/wiki/Chapter_12:_Multiple_Datasets" title="Chapter 12: Multiple Datasets" style="text-decoration:none;color:rgb(0,43,184);background-image:none;background-color:initial;background-repeat:initial initial">Chapter 12: Multiple Datasets</a></span></li>
</ul></div></div></span></div><div><br></div></font><br><div class="gmail_quote">On Fri, Jan 4, 2013 at 9:20 PM, Shayan Kamanzadeh <span dir="ltr"><<a href="mailto:shayan.kamanzadeh@student.kuleuven.be" target="_blank">shayan.kamanzadeh@student.kuleuven.be</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 dir="ltr">
<div style="font-size:12pt;font-family:'Calibri'">
<div>Hello Everyone;</div>
<div> </div>
<div>I have a question with the EEGLAb. I have some raw data which are extracted
from the “net-station”. I want to cut the signals within these raw binary data
one second before and after the “STRT” tag. It means I want to cut it to some
files(number of repetition of tag) with the length of 2 second in which the
“STRT” tag, is in the middle and it contains all the 256 channels.</div>
<div>(|<—1s—“STRT”—1s—>|)</div>
<div> </div>
<div>If anybody could help me please?</div>
<div>Regards.</div>
<div> </div></div></div></div>
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