<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div class="">Hi, Makoto,</div><div class=""><br class=""></div><div class="">Thank you very much. You are right. </div><div class=""><br class=""></div><div class="">I am using a dataset with 64 channels. Normally I can get 64 ICs, so if I removed 20 artefact-ICs, I still have about 40 ICs that are confirmed to be brain activity, which is totally reasonable. As long as I can make sure that these 20 IC are related with artefacts, I can remove them and won’t remove much of my data variance. Am I right?</div><div class=""><br class=""></div><div class="">Bin </div><div class=""><br class=""></div><br class=""><div apple-content-edited="true" class="">
<div style="color: rgb(0, 0, 0); letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div style="color: rgb(0, 0, 0); letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><font face="arial,helvetica,sans-serif" size="1" color="#0B5394" class="">++++++++++++++++++++++++++++++</font><font face="arial,helvetica,sans-serif" size="1" color="#0B5394" class=""><br class=""></font><span style="font-family: Tahoma; font-size: 13px;" class=""></span><div style="font-family: Tahoma; font-size: 13px;" class=""><font size="2" color="#0B5394" class="">Bin Wang</font><font size="2" color="#0B5394" class=""><br class="">Cognitive Neuroscience</font><font size="2" color="#0B5394" class=""><br class="">Institute of Neuroscience and Medicine (INM-3)</font><font size="2" color="#0B5394" class=""><br class="">Forschungszentrum Juelich, </font><font size="2" color="#0B5394" class=""><br class="">Leo-Brandt-Str. 5 </font><font size="2" color="#0B5394" class=""><br class="">52425 Juelich</font><font face="arial" size="2" color="#0B5394" class=""><br class=""></font><font size="2" color="#0B5394" class="">Email: </font><a href="https://webmail.fz-juelich.de/owa/redir.aspx?C=hswxAlx8wU6cP189jFS_1w0PFSKb8dAIIkV6dqtR-VUUMNMIisKisV7RZADeuZK3wPR2w27Q5yU.&URL=mailto%3abinwang87828%40gmail.com" target="_blank" class=""><font size="2" class="">b.wang@fz-juelich.de</font></a><font size="2" color="#0B5394" class=""><br class=""> </font><font face="Calibri,sans-serif" size="2" color="#1F497D" class=""><span lang="de" style="font-size: 11pt;" class="">&</span></font><font size="2" color="#0B5394" class=""> </font><a href="https://webmail.fz-juelich.de/owa/redir.aspx?C=hswxAlx8wU6cP189jFS_1w0PFSKb8dAIIkV6dqtR-VUUMNMIisKisV7RZADeuZK3wPR2w27Q5yU.&URL=mailto%3abinwang87828%40gmail.com" target="_blank" class=""><font size="2" class="">binwang87828@gmail.com</font></a><a href="https://webmail.fz-juelich.de/owa/redir.aspx?C=hswxAlx8wU6cP189jFS_1w0PFSKb8dAIIkV6dqtR-VUUMNMIisKisV7RZADeuZK3wPR2w27Q5yU.&URL=mailto%3abinwang87828%40gmail.com" target="_blank" class=""><font size="2" class=""><font face="Calibri,sans-serif" size="2" color="#1F497D" class=""><span lang="de" style="font-size: 11pt;" class=""> </span></font></font></a><font size="2" color="#0B5394" class=""><br class=""></font><font size="2" color="#0B5394" class="">Telefon: 02461-61-9542</font><div class=""><font face="arial,helvetica,sans-serif" size="1" color="#0B5394" class="">++++++++++++++++++++++++++++++</font></div></div></div><br class="Apple-interchange-newline"></div><br class="Apple-interchange-newline"><br class="Apple-interchange-newline">
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<br class=""><div><blockquote type="cite" class=""><div class="">On 04 Nov 2014, at 21:11, Makoto Miyakoshi <<a href="mailto:mmiyakoshi@ucsd.edu" class="">mmiyakoshi@ucsd.edu</a>> wrote:</div><br class="Apple-interchange-newline"><div class=""><div dir="ltr" class="">Dear Bin,<div class=""><br class=""></div><div class="">We only use up to around 20 ICs that is confirmed to be brain EEGs regardless of the channel number.</div><div class=""><br class=""></div><div class="">By the way you can't say how many IC removal is appropriate. If you remove IC1-10 then you'll remove more than 50% of your data variance, while if you remove IC90-100 it could be less than 1%.</div><div class=""><br class=""></div><div class="">Makoto</div></div><div class="gmail_extra"><br class=""><div class="gmail_quote">On Wed, Oct 29, 2014 at 1:22 PM, Bin Wang <span dir="ltr" class=""><<a href="mailto:binwang87828@gmail.com" target="_blank" class="">binwang87828@gmail.com</a>></span> wrote:<br class=""><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div style="word-wrap:break-word" class=""><div class="">Hi, everyone,</div><div class=""><br class=""></div><div class="">One simple question: I am using ICA to remove the artefact right now. How many removed components is reasonable? I am using a completely automatic algorithm (ADJUST) now. It seems work for most of subjects. But, it is wired for one subject, I need remove 20 components of 60. Is it reasonable? </div><div class=""><br class=""></div><div class="">Thank you in advance,</div><div class="">Bin</div>
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