<div dir="ltr"><div class="gmail_extra">> The segment provided as input for the algorithm was only a 9 [s] long time-slice. Will longer (~10 min) segments provide better filtering while using ASR?<br></div><div class="gmail_extra"><br></div><div class="gmail_extra">Of course! 9 sec long is apparently suboptimal. Provide all data you have for the best result.</div><div class="gmail_extra"><br></div><div class="gmail_extra">Makoto</div><div class="gmail_extra"><br><div class="gmail_quote">On Sat, Oct 10, 2015 at 11:20 PM, <a href="mailto:Evyatar.Arad@sheba.health.gov.il">Evyatar.Arad@sheba.health.gov.il</a> <span dir="ltr"><<a href="mailto:Evyatar.Arad@sheba.health.gov.il" target="_blank">Evyatar.Arad@sheba.health.gov.il</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">



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Dear Makoto,
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<div>Good week.</div>
<div>The segment provided as input for the algorithm was only a 9 [s] long time-slice. Will longer (~10 min) segments provide better filtering while using ASR?</div>
<div><br>
</div>
<div>All the best,</div>
<div>Evyatar</div><div><div class="h5">
<div>
<div>
<blockquote type="cite">
<div>On Oct 8, 2015, at 8:17 PM, Makoto Miyakoshi <<a href="mailto:mmiyakoshi@ucsd.edu" target="_blank">mmiyakoshi@ucsd.edu</a>> wrote:</div>
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<div dir="ltr">Oh that's true. Are you sure that you provided full-length continuous data?</div>
<div class="gmail_extra"><br>
<div class="gmail_quote">On Wed, Oct 7, 2015 at 11:30 PM, <a href="mailto:Evyatar.Arad@sheba.health.gov.il" target="_blank">
Evyatar.Arad@sheba.health.gov.il</a> <span dir="ltr"><<a href="mailto:Evyatar.Arad@sheba.health.gov.il" target="_blank">Evyatar.Arad@sheba.health.gov.il</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">
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<div>Makoto,</div>
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<div>It too a few (<10) seconds.</div>
<div>The entire segment cleaned is 9 [s] long.</div>
<div><br>
</div>
<div>Best,</div>
<div>Evyatar
<div>
<div><br>
<div>
<blockquote type="cite">
<div>On Oct 8, 2015, at 1:23 AM, Makoto Miyakoshi <<a href="mailto:mmiyakoshi@ucsd.edu" target="_blank">mmiyakoshi@ucsd.edu</a>> wrote:</div>
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<div dir="ltr">Dear Evyatar,
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<div>I don'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" target="_blank">
Evyatar.Arad@sheba.health.gov.il</a> <span dir="ltr"><<a href="mailto:Evyatar.Arad@sheba.health.gov.il" target="_blank">Evyatar.Arad@sheba.health.gov.il</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">
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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>
<div><br>
</div>
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<blockquote type="cite">
<div>On Oct 7, 2015, at 8:59 AM, Evyatar Arad <<a href="mailto:evyatar.arad@sheba.health.gov.il" target="_blank">evyatar.arad@sheba.health.gov.il</a>> 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><br>
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<div>Regards,</div>
<div>Evyatar</div>
<div><br>
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<div>
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<div>On Oct 7, 2015, at 1:50 AM, Makoto Miyakoshi <<a href="mailto:mmiyakoshi@ucsd.edu" target="_blank">mmiyakoshi@ucsd.edu</a>> wrote:</div>
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<div dir="ltr">Dear Evyatar,
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</div>
<div>Well that's strange. What does the log say (how much data are left in the initial clean portion selection etc)</div>
<div><br>
</div>
<div>Makoto</div>
</div>
<div class="gmail_extra"><br>
<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"><<a href="mailto:Evyatar.Arad@sheba.health.gov.il" target="_blank">Evyatar.Arad@sheba.health.gov.il</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 style="word-wrap:break-word">Hello Miyakoshi,
<div><br>
</div>
<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>
<div><br>
</div>
<div>My current dataset is composed of a 30 channel EEG singal, 290 [s] in length.</div>
<div>
<div>Running the algorithm in default setting yields the following result:</div>
</div>
<div><br>
</div>
<div><b>Pre-ASR, normalised signal:</b></div>
<div><span><No Filt.png></span></div>
<div><br>
</div>
<div><b>Post-ASR, normalised signal:</b></div>
<div></div>
<div><br>
</div>
<div>It seems as though at best no change has occurred.</div>
<div><br>
</div>
<div>Your recommendations will be beneficiary.</div>
<div><br>
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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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-- <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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-- <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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