<div dir="ltr">Dear Arun,<div><br></div><div>The point in ASR 20 is to let ICA learn artifacts well but at the same time protect ICA from outliers in the raw data.</div><div><br></div><div>> I have been using default values with good results. But some of our lab's meditation data were losing visible 'alpha' patterns with this.<br></div><div class="gmail_extra"><br></div><div class="gmail_extra">Right, it happened to me too. That's why I increased the threshold far higher.</div><div class="gmail_extra"><br></div><div class="gmail_extra">After all, you cannot completely separate and remove artifacts only. The merit of ASR is evaluated in a total SNR increase, and there is no guarantee that the signal will be absolutely protected e.g. if Method A removes 10 artifacts and 1 signal, and Method B removes 30 artifacts and 2 signal, Method B is better in total.</div><div class="gmail_extra"><br></div><div class="gmail_extra">Makoto</div><div class="gmail_extra"><br><div class="gmail_quote">On Mon, Sep 29, 2014 at 9:37 AM, Arun Sasidharan <span dir="ltr"><<a href="mailto:arunsasi84@gmail.com" target="_blank">arunsasi84@gmail.com</a>></span> wrote:<br><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 dir="ltr">Dear Makoto,<div>Thanks for the reply. I was wondering how such a large std value would be used. </div><div>I have been using default values with good results. But some of our lab's meditation data were losing visible 'alpha' patterns with this.</div><div>I will use this and give my feed back.</div><div>Once again thanks.... </div></div><div class=""><div class="h5"><div class="gmail_extra"><br><div class="gmail_quote">On 29 September 2014 21:39, 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:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex"><div dir="ltr">Dear Arun,<div><br></div><div>Read the GUI carefully and you'll find one of the boxes says '... using ASR' in which the default value could be 4 or 5 but change it to 20.</div><div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><div class="gmail_quote"><div><div>On Sun, Sep 28, 2014 at 2:24 AM, Arun Sasidharan <span dir="ltr"><<a href="mailto:arunsasi84@gmail.com" target="_blank">arunsasi84@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">Dear Makoto,<div>In the last email with this topic ('Methods of improving SNR'), you mentioned that ASR threshold of "20" produced good results. Could you kindly help me identify the parameter of clean_raw/clean_asr that I need to change to acheve this. </div><div><br></div><div>Thanks... <span><font color="#888888"><br clear="all"><div><br></div>-- <br><div dir="ltr"><font color="#999999">Dr Arun Sasidharan<br>PhD Scholar & Senior Research Fellow (ICMR) </font><div><font color="#999999">Dept of Neurophysiology & Multi-modal Brain Image Analysis Laboratory (MBIAL)<br>NIMHANS, Bangalore-560029, India.</font><div><span style="background-color:rgb(255,255,255)"><a href="http://nphy.weebly.com/arun-sasidharan.html" target="_blank">http://nphy.weebly.com/arun-sasidharan.html</a></span><div><span style="background-color:rgb(255,255,255)"><a href="http://mbial.weebly.com/arun-sasidharan.html" target="_blank">http://mbial.weebly.com/arun-sasidharan.html</a><br><a href="http://in.linkedin.com/pub/dr-arun-sasidharan/18/a15/352" target="_blank">http://in.linkedin.com/pub/dr-arun-sasidharan/18/a15/352</a><br><font color="#999999">Mob: <a href="tel:%2B91-9964923983" value="+919964923983" target="_blank">+91-9964923983</a></font></span><br></div></div></div></div>
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</blockquote></div><br><br clear="all"><div><br></div>-- <br><div dir="ltr"><font color="#999999">Dr Arun Sasidharan<br>PhD Scholar & Senior Research Fellow (ICMR) </font><div><font color="#999999">Dept of Neurophysiology & Multi-modal Brain Image Analysis Laboratory (MBIAL)<br>NIMHANS, Bangalore-560029, India.</font><div><span style="background-color:rgb(255,255,255)"><a href="http://nphy.weebly.com/arun-sasidharan.html" target="_blank">http://nphy.weebly.com/arun-sasidharan.html</a></span><div><span style="background-color:rgb(255,255,255)"><a href="http://mbial.weebly.com/arun-sasidharan.html" target="_blank">http://mbial.weebly.com/arun-sasidharan.html</a><br><a href="http://in.linkedin.com/pub/dr-arun-sasidharan/18/a15/352" target="_blank">http://in.linkedin.com/pub/dr-arun-sasidharan/18/a15/352</a><br><font color="#999999">Mob: <a href="tel:%2B91-9964923983" value="+919964923983" target="_blank">+91-9964923983</a></font></span><br></div></div></div></div>
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</div></div></blockquote></div><br><br clear="all"><div><br></div>-- <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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