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<div class="gs_a" style="color:rgb(0,128,0);font-family:arial,sans-serif;line-height:16px;background-color:rgb(255,255,255)">LF Tan, A Jansari, SL Keng… - Human-Computer Interaction. …, 2009 - Springer</div><div class="gs_rs" style="font-family:arial,sans-serif;line-height:16px;background-color:rgb(255,255,255)">
<b>...</b> Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Kuala Lumpur, <b>Malaysia</b></div><div class="gs_rs" style="font-family:arial,sans-serif;line-height:16px;background-color:rgb(255,255,255)">
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<div class="gs_a" style="color:rgb(0,128,0)">MZ Abdullah - <b>Malaysian </b>Journal of Medical Sciences, 2009 - <a href="http://bioline.org.br">bioline.org.br</a></div><div class="gs_rs"><b>...</b> In <b>Malaysia</b>, there are approximately 10,000 new stroke cases each year; 70% of patients who <b>..</b></div>
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<div class="gs_a" style="color:rgb(0,128,0)">AA Nooh, J Yunus… - Proceedings of International …, 2011 - <a href="http://ipcbee.com">ipcbee.com</a></div><div class="gs_rs"><b>...</b> should be made on other factors besides classifier which affects the accuracy and time response</div>
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</div></div><br><div class="gmail_quote">On Wed, Mar 7, 2012 at 11:11 PM, FENG YX <span dir="ltr"><<a href="mailto:fengyx@myinti.edu.my">fengyx@myinti.edu.my</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div><div style="font-size:12pt;font-family:times new roman,new york,times,serif"><div><span><div style="font-size:12pt;font-family:times,serif">Im Feng from <span style="color:rgb(54,99,136)">INTI College Penang</span>.</div>
<div style="font-size:12pt;font-family:times,serif"><font size="3" style="font-family:'times new roman','new york',times,serif;font-size:12pt"><br></font></div><div style="font-family:times,serif"><font size="3" style="font-family:'times new roman','new york',times,serif">I'm working on EEG project as my </font><span style="font-family:'times new roman','new york',times,serif">Electrical</span><font size="3" style="font-family:'times new roman','new york',times,serif"> and Electronic Degree final year project. Up to date, I
had successfully acquired</font><br></div><div><font size="3">EEG signal through 2 passive electrode probe from the fore head.</font></div><div><font size="3"><br></font></div><div><font size="3">However, due to lacking of medical related info on EEG, I couldn't proceed further to analyze and classify the EEG signal and go further for BCI (brain computer interaction) . Please suggest possible method and reading material. Your advice is much appreciated.</font></div>
<div style="font-size:12pt"><font size="3"><br></font></div><div style="font-size:12pt"><font size="3"><div style="font-size:17px"><font size="3" style="font-style:italic">Im in the beginning stage currently. My hardware is using 2 channels to acquire the EEG signal via passive electrodes on the forehead. This signal had been gone through :</font></div>
<div style="font-size:17px"><span style="font-style:italic"><font size="3">a) Analogue -
filtering, </font>aliasing<font size="3">, amplification</font><br></span></div><div style="font-size:17px"><font size="3" style="font-style:italic">b) Digital - multiplexing, decoding (A/D) and serial com RS232</font></div>
<div style="font-size:17px"><font size="3" style="font-style:italic"><br></font></div><div style="font-size:17px"><font size="3" style="font-style:italic">My main focus was on the <span style="font-weight:bold;text-decoration:underline">software part</span>. Im able to connect the hardware viz RS232 serial communication. Using Matlab,</font></div>
<div style="font-size:17px"><font size="3" style="font-style:italic">i had done :</font></div><div style="font-size:17px"><font size="3" style="font-style:italic">1) Decode the binary signal (D/A C)</font></div><div style="font-size:17px">
<font size="3" style="font-style:italic">2) Create a buffer to wait and sync the hardware bit
rate</font></div><div style="font-size:17px"><font size="3" style="font-style:italic">3) Reconstruct the signal in analogue form - time domain</font></div><div style="font-size:17px"><font size="3" style="font-style:italic">4) FFT the signal into frequency domain</font></div>
<div style="font-size:17px"><span style="font-style:italic">Currently trying to classify the signal with alpha, beta etc stages for the brain activeness. </span></div><div style="font-size:17px"><span style="font-style:italic">At the meantime, I'm leaning Fuzzy Logic and ISA Technics related to DSP. </span></div>
<div style="font-size:17px"><font size="3" style="font-style:italic"><br></font></div><div style="font-size:17px"><font size="3" style="color:rgb(0,0,255);font-style:italic">Now my major issue is analyze the EEG signal and interpretation. As an E&E Eng student, i have insufficient
medical knowledge to understand the EEG wave.</font></div><div style="font-size:17px"><font size="3"><br></font></div><div style="font-size:17px"><span style="font-size:medium">Thanks in advance and have a nice day.</span><br>
</div></font></div></span></div><div style="font-size:12pt"> </div><div style="font-size:12pt"><font><div><br> </div><div style="MARGIN-RIGHT:0px" dir="ltr"><font>--<br>Regards,<br><br><i><font size="3" face="times new roman, new york, times, serif">FENG YING XING</font></i><br>
<font face="courier, monaco, monospace, sans-serif"><a rel="nofollow" href="http://mail.google.com/a/intima.edu.my/&bsv=1eic6yu9oa4y3<mpl=default<mplcache=2" target="_blank"><img style="WIDTH:128px;min-height:25px" width="96" height="39"></a></font></font><br>
<font>INTI International College Penang<br>Email :
</font><a rel="nofollow" href="mailto:fengyx@myinti.edu.my" target="_blank"><font>fengyx@myinti.edu.my</font></a><font> <br> </font><a rel="nofollow" href="mailto:yingxing.feng@i.edu.my" target="_blank"><font>yingxing.feng@i.edu.my</font></a></div>
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