<br><br><div class="gmail_quote">Στις 22 Οκτώβριος 2008 11:51 μμ, ο χρήστης Klados Manousos <span dir="ltr"><<a href="mailto:mklados@med.auth.gr">mklados@med.auth.gr</a>></span> έγραψε:<br><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
Dear Brion<br><br>If you search in literature there exist a certain paper which suggest that eye blink's voltage is larger than 50 μV. So you can put a threshold of 50μV for eye blinks. If i understand you you need an automatic procedure to reject contaminated epochs. One very easy algorithm is to find epochs with values larger than 50 μV and exclude them for your study. I can't understand the reason you need different threshold for different channels. You can indetify contaminated epochs from one signal and in the others the epochs have to be the same...correct me if i uderstood wrong.<br>
<br>Greetings<br>Manos<br><br><div class="gmail_quote">2008/10/22 Brion Woroch <span dir="ltr"><<a href="mailto:bworoch2@illinois.edu" target="_blank">bworoch2@illinois.edu</a>></span><div><div></div><div class="Wj3C7c">
<br><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
Hello,<br>
I am looking for a way to set the threshold for the "detection of<br>
extremely large fluctuations" in the automatic epoch rejection<br>
differentially for different channels. I would like to set one<br>
threshold for EOG channels and another for scalp electrodes. Does<br>
anybody know how I can accomplish this? Thanks in advance.<br>
Brion Woroch<br>
<br>
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</blockquote></div></div></div><br><br clear="all"><br>-- <br>Klados A. Manousos<br>Graduate Student, Research Assistant<br>Lab of Medical Informatics, Medical School<br>Aristotle University of Thessaloniki<br>Thessaloniki, Greece<br>
_________________________________________________<br>Tel: +30-2310-999332<br>Website :<br><a href="http://lomiweb.med.auth.gr/gan/index_files/Page1269.htm" target="_blank">http://lomiweb.med.auth.gr/gan/index_files/Page1269.htm</a> <br>
<br>
</blockquote></div><br><br clear="all"><br>-- <br>Klados A. Manousos<br>Graduate Student, Research Assistant<br>Lab of Medical Informatics, Medical School<br>Aristotle University of Thessaloniki<br>Thessaloniki, Greece<br>
_________________________________________________<br>Tel: +30-2310-999332<br>Website :<br><a href="http://lomiweb.med.auth.gr/gan/index_files/Page1269.htm">http://lomiweb.med.auth.gr/gan/index_files/Page1269.htm</a> <br><br>