<div dir="ltr">Dear Venkatesh,<div><br></div><div style>Check out Delorme et al., 2007 NeuroImage.</div><div style>What I would suggest is</div><div style>1. Before ICA, threshold data with +/- 300-500 uV. See to it that it does NOT catch eye blinks.</div>
<div style>2. Run ICA.</div><div style>3. If you want, apply improbability test with SD 6-8 for each channel and 2-3 for all channels.</div><div style>Through these steps, reject 1-5% of data; if you think you have to discard more than 10%, you may got an unfortunate data (but still ok). If you have to discard more than 30% of the data, that is no good according to the guideline paper (Picton et al., 2000 Psychophysiology)... but that's still not the law though.</div>
<div style><br></div><div style>Makoto</div></div><div class="gmail_extra"><br><br><div class="gmail_quote">2013/6/6 Venkatesh Rajagopalan <span dir="ltr"><<a href="mailto:VRajagopalan@kesslerfoundation.org" target="_blank">VRajagopalan@kesslerfoundation.org</a>></span><br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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<p>Hi All,</p>
<p> </p>
<p>I am new to EEG. I am going through your EEGLAB tutorial. I working on one of the sample data sets provided with the EEGLAB. The tutorial is good, but I am unable to understand under what circumstances one has to perform a certain set of steps and how to
choose the thresholds etc. In specific</p>
<p> </p>
<p>I am unable to find clear instructions for how to clean the data. For instance it will be helpful for me to have a data with an artifact and if the tutorial could show how their routine for example what will be the result when you do the step "Rejecting
improbable data" on that artifact or how the step is used to reject an artifacts and what kinds of artifacts can be rejected and what cannot be rejected. Similarly how to choose a threshold for "Rejecting abnormal trends" and how different thresholds affect
the data etc.</p>
<p> </p>
<p>To me for a beginner the tutorial is very vague. Any suggestions to me regarding how I can first understand/determine what kind of preocessing steps is necessary for my data set or the sample data set that you have supplied with the software. </p>
<p> </p>
<p>Any help will be greatly appreciated.</p>
<p> </p>
<p>Thanks</p>
<p>Venkat</p>
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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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