<div dir="ltr"><div>Dear Sanjaya,</div><div><br></div>Right, maybe post-hoc signal processing can treat it well. At least, you can optimize the hardware so that the noise can be easier to be handled with.<div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Oct 18, 2016 at 11:15 PM, Sanjaya Vipula <span dir="ltr"><<a href="mailto:sanjayavipula@gmail.com" target="_blank">sanjayavipula@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Dear Makoto,<div><br></div><div>Exactly as you anticipated, the behavior is really different depending on the conductivity. </div><div><br></div><div>However the major problem is when the motor is operating the noise level is too high. I am going to try to identify a exact noise band related to the motor movement and to filter it as some of the members have suggested.</div><div><br></div><div>Thank you for your comment.</div><div><br></div><div>regards,</div><div><br></div><div>Sanjaya</div></div><div class="HOEnZb"><div class="h5"><div class="gmail_extra"><br><div class="gmail_quote">On 18 October 2016 at 16:56, 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:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Dear Sanjaya,<div><br></div><div>Hmm that's a difficult question.</div><div>Probably you can test it step by step. For example, while touching the robot with a rubber hand vs. bare hand, or using wood stick vs. rubber stick vs. conductive stick, or touch, close but no touch, no touch far, etc. I'm sure the artifact level is highest when subject's body touches the robot. Could there be any non-conductive material between a subject and and the robot to prevent the artifact from contaminating EEG?</div><div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><div class="gmail_quote"><div><div class="m_5295889480160949120h5">On Tue, Oct 11, 2016 at 12:29 AM, Sanjaya Vipula <span dir="ltr"><<a href="mailto:sanjayavipula@gmail.com" target="_blank">sanjayavipula@gmail.com</a>></span> wrote:<br></div></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div class="m_5295889480160949120h5"><div dir="ltr">Dear All,<div><br></div><div>I need some advice on a problem I face during EEG recording.</div><div><br></div><div>I am trying to record EEG simultaneously with an exoskeleton movement. The subject wear the exoskeleton during the experiments. </div><div><br></div><div>When the exoskeleton is not operating normal EEG signals can be observed from subject. However when the exoskeleton is operating a huge noise can observed in the EEG recordings. </div><div><br></div><div>I tried separating the power source of the EEG amplifier and the robot. The noise is probably due to the motor operation. How the effect from the motor operation can be suppressed in the EEG signal?</div><div><br></div><div>Thank you very much in advance for any comments and tips.</div><div><br></div><div>regards,</div><div><br></div><div>Sanjaya<span class="m_5295889480160949120m_2893819171491900000HOEnZb"><font color="#888888"><br clear="all"><div><br></div>-- <br><div class="m_5295889480160949120m_2893819171491900000m_8816657676943997047gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div style="text-align:left"><a href="mailto:sanjayavipula@gmail.com" target="_blank"></a>Sanjaya Vipula Bandara,<br></div><div style="text-align:left"><font size="1">B.Sc. Mech.Eng.(SL), MPhil.Biorobotics(SL), AMIESL</font></div><div style="text-align:left">PhD Student,</div>Department of Mechanical Engineering,<br>Kyushu University,<br>Fukuoka,<br><div>Japan</div></div></div></div></div></div></div></div></div></div></div>
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</blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="m_5295889480160949120gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div style="text-align:left"><a href="mailto:sanjayavipula@gmail.com" target="_blank"></a>Sanjaya Vipula Bandara,<br></div><div style="text-align:left"><font size="1">B.Sc. Mech.Eng.(SL), MPhil.Biorobotics(SL), AMIESL</font></div><div style="text-align:left">PhD Student,</div>Department of Mechanical Engineering,<br>Kyushu University,<br>Fukuoka,<br><div>Japan</div></div></div></div></div></div></div></div></div></div></div>
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</div></div></blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature" data-smartmail="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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