<div dir="ltr">Dear Evyatar,<div><br></div><div>I don&#39;t see anything strange in the log. How long did it take?</div><div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Oct 6, 2015 at 11:10 PM, <a href="mailto:Evyatar.Arad@sheba.health.gov.il">Evyatar.Arad@sheba.health.gov.il</a> <span dir="ltr">&lt;<a href="mailto:Evyatar.Arad@sheba.health.gov.il" target="_blank">Evyatar.Arad@sheba.health.gov.il</a>&gt;</span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">



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<div>Scanning for bad channels...</div>
<div>clean_channel:   1/1, 0.0 minutes remaining.</div>
<div>Finding a clean section of the data...</div>
<div>Determining time window rejection thresholds...done.</div>
<div>Keeping 45.7% (5 seconds) of the data.</div>
<div>eeg_insertbound(): 4 boundary (break) events added.</div>
<div>eeg_checkset note: upper time limit (xmax) adjusted so (xmax-xmin)*srate+1 = number of frames</div>
<div>Estimating calibration statistics; this may take a while...</div>
<div>Determining per-component thresholds...done.</div>
<div>Now doing final post-cleanup of the output.</div>
<div>Determining time window rejection thresholds...done.</div>
<div>Keeping 100.0% (10 seconds) of the data.</div>
<div>Use vis_artifacts to compare the cleaned data to the original.</div>
<div>Done.</div>
<div>Creating a new ALLEEG dataset 3</div><div><div class="h5">
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<div>On Oct 7, 2015, at 8:59 AM, Evyatar Arad &lt;<a href="mailto:evyatar.arad@sheba.health.gov.il" target="_blank">evyatar.arad@sheba.health.gov.il</a>&gt; wrote:</div>
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<div>Thanks for the quick reply :)</div>
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I thought so too. Could you help me in locating the log file?
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<div>Regards,</div>
<div>Evyatar</div>
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<div>On Oct 7, 2015, at 1:50 AM, Makoto Miyakoshi &lt;<a href="mailto:mmiyakoshi@ucsd.edu" target="_blank">mmiyakoshi@ucsd.edu</a>&gt; wrote:</div>
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<div dir="ltr">Dear Evyatar,
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<div>Well that&#39;s strange. What does the log say (how much data are left in the initial clean portion selection etc)</div>
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<div>Makoto</div>
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<div class="gmail_quote">On Sun, Oct 4, 2015 at 5:36 AM, <a href="mailto:Evyatar.Arad@sheba.health.gov.il" target="_blank">
Evyatar.Arad@sheba.health.gov.il</a> <span dir="ltr">&lt;<a href="mailto:Evyatar.Arad@sheba.health.gov.il" target="_blank">Evyatar.Arad@sheba.health.gov.il</a>&gt;</span> wrote:<br>
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<div style="word-wrap:break-word">Hello Miyakoshi,
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<div>My name is Evyatar Arad and I’m a Biomedical engineer currently working on movement artefact removal from an 32 electrodes EEG system.</div>
<div>I have installed the ASR extension to Matlab and I was wondering what are the optimal parameters for the ASR algorithm.</div>
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<div>My current dataset is composed of a 30 channel EEG singal, 290 [s] in length.</div>
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<div>Running the algorithm in default setting yields the following result:</div>
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<div><b>Pre-ASR, normalised signal:</b></div>
<div><span>&lt;No Filt.png&gt;</span></div>
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<div><b>Post-ASR, normalised signal:</b></div>
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<div>It seems as though at best no change has occurred.</div>
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<div>Your recommendations will be beneficiary.</div>
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<div>Thanks in advance,</div>
<div>Evyatar Arad</div>
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-- <br>
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<div dir="ltr">Makoto Miyakoshi<br>
Swartz Center for Computational Neuroscience<br>
Institute for Neural Computation, University of California San Diego<br>
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</blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature"><div dir="ltr">Makoto Miyakoshi<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br></div></div>
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