<div dir="ltr">Dear sandeep,<div>to separate the data into different bands then you need to use wavelets for good results</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Wed, Nov 23, 2016 at 11:11 AM, Sandeep B <span dir="ltr"><<a href="mailto:b.sandeep29@gmail.com" target="_blank">b.sandeep29@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"><div class="gmail_default" style="font-family:trebuchet ms,sans-serif">Dear Colleagues, <br><br></div><div class="gmail_default" style="font-family:trebuchet ms,sans-serif">I have data of 14 electrodes, with respective to 3 different tasks recorded for 2 minutes each. <br><br></div><div class="gmail_default" style="font-family:trebuchet ms,sans-serif">How do i separate signal for each task into alpha, beta , theta , gamma, and delta frequencies. Also how can i look into the differences(or difference in percentage level) of each frequency band for the different tasks. <br><br></div><div class="gmail_default" style="font-family:trebuchet ms,sans-serif"></div><div class="gmail_default" style="font-family:trebuchet ms,sans-serif">is it possible to find the significant channel responsible for the different tasks?<br><br></div><div class="gmail_default" style="font-family:trebuchet ms,sans-serif">Do matlab bandpass filters help in showing up the different frequency bands ?<br><br></div><div class="gmail_default" style="font-family:trebuchet ms,sans-serif">Thank you <br></div><span class="HOEnZb"><font color="#888888"><div class="gmail_default" style="font-family:trebuchet ms,sans-serif">SandeepĀ </div></font></span></div>
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