Dear Habib Paracha,<br>I would recommend you to follow the BCI2000 tutorial. You can find it here: <a href="http://www.bci2000.org/wiki/index.php/User_Tutorial:P300_BCI_Tutorial" target="_blank">http://www.bci2000.org/wiki/index.php/User_Tutorial:P300_BCI_Tutorial</a><br>
<br>Despite the lack of electrodes over the commonly used locations to record a P300 response (Fz, Cz and Pz), you can still measure it -according to my experiments- mainly over P7, O1, O2 and P8.<br><br>Regards,<br><br>
Daniel Góngora<br>
<br><br>
<div class="gmail_quote">On Wed, Oct 10, 2012 at 3:00 PM, <span dir="ltr"><<a href="mailto:eeglablist-request@sccn.ucsd.edu" target="_blank">eeglablist-request@sccn.ucsd.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
Send eeglablist mailing list submissions to<br>
<a href="mailto:eeglablist@sccn.ucsd.edu" target="_blank">eeglablist@sccn.ucsd.edu</a><br>
<br>
To subscribe or unsubscribe via the World Wide Web, visit<br>
<a href="http://sccn.ucsd.edu/mailman/listinfo/eeglablist" target="_blank">http://sccn.ucsd.edu/mailman/listinfo/eeglablist</a><br>
or, via email, send a message with subject or body 'help' to<br>
<a href="mailto:eeglablist-request@sccn.ucsd.edu" target="_blank">eeglablist-request@sccn.ucsd.edu</a><br>
<br>
You can reach the person managing the list at<br>
<a href="mailto:eeglablist-owner@sccn.ucsd.edu" target="_blank">eeglablist-owner@sccn.ucsd.edu</a><br>
<br>
When replying, please edit your Subject line so it is more specific<br>
than "Re: Contents of eeglablist digest..."<br>
<br>Today's Topics:<br>
<br>
1. P300 signal detection (Research Assistant)<br>
2. ICA problema Massimiliano Papera (Massimiliano Papera)<br>
<br><br>---------- Forwarded message ----------<br>From: Research Assistant <<a href="mailto:ra_lums@hotmail.co.uk" target="_blank">ra_lums@hotmail.co.uk</a>><br>To: <<a href="mailto:eeglablist@sccn.ucsd.edu" target="_blank">eeglablist@sccn.ucsd.edu</a>><br>
Cc: <br>Date: Wed, 10 Oct 2012 11:44:17 +0500<br>Subject: [Eeglablist] P300 signal detection<br>
<div><div dir="ltr">
Hi all,<div><br></div><div>I want to extract P300 signals. I currently have with me EMOTIV EPOC headset with its research SDK. I am new in this domain. I have been following tutorials of EEGLAB and trying to see the signals which I saved in the Testbench of my SDK. I used the OpenViBE'a keyboard simulator program provided at this link: <a href="http://neurofeedback.visaduma.info/emotivresearch.htm" style="font-size:10pt" target="_blank">http://neurofeedback.visaduma.info/emotivresearch.htm</a></div>
<div><br></div><div>But I am unable to find anything significant.</div><div>Can someone help me please and guide me how to proceed.</div><div><br></div><div>Regards,</div><div><br></div><div>Habib Paracha</div> </div>
</div>
<br><br>---------- Forwarded message ----------<br>From: Massimiliano Papera <<a href="mailto:massimiliano.papera@googlemail.com" target="_blank">massimiliano.papera@googlemail.com</a>><br>To: <a href="mailto:eeglablist@sccn.ucsd.edu" target="_blank">eeglablist@sccn.ucsd.edu</a><br>
Cc: <br>Date: Wed, 10 Oct 2012 14:12:07 +0100<br>Subject: [Eeglablist] ICA problema Massimiliano Papera<br>Dear all,<br><br>I am just about to run the ICA and I just incurred in this statement in the tutorial:<br><br>'Note: If you try to run ICA on this new dataset, the number of
dimensions of the data will have been reduced by the number of
components subtracted. We suggest again 'baseline-zeroing' the data (if
it is epoched when some components have been removed, data
epoch-baseline means may change). To run ICA on the reduced dataset, use
the <i>pca</i> option under the <font color="brown">Tools > Run ICA</font> pop-up window, type <i> 'pca', '10' </i>
in the Commandline options box to reduce the data dimensions to the
number of remaining components (here 10), before running ICA (see <a rel="nofollow" href="http://sccn.ucsd.edu/eeglab/locatefile.php?file=runica.m" target="_blank">runica.m</a>.
If the amount of data has not changed, ICA will typically return the
same (remaining) independent components -- which were, after all,
already found to be maximally independent for these data.'<br><br>this is from <a href="http://sccn.ucsd.edu/wiki/Chapter_09:_Decomposing_Data_Using_ICA" target="_blank">http://sccn.ucsd.edu/wiki/Chapter_09:_Decomposing_Data_Using_ICA</a><br>
<br>Let's us suppose that I have just removed, say, 4 ICS comps. Then how do I check if the amount of data has changed?<br><br>Thank you very much for your help.<br><br><br>Cheers<br>Massimiliano Papera<br>
<br>_______________________________________________<br>
eeglablist mailing list <a href="mailto:eeglablist@sccn.ucsd.edu" target="_blank">eeglablist@sccn.ucsd.edu</a><br>
Eeglablist page: <a href="http://www.sccn.ucsd.edu/eeglab/eeglabmail.html" target="_blank">http://www.sccn.ucsd.edu/eeglab/eeglabmail.html</a><br>
To unsubscribe, send an empty email to <a href="mailto:eeglablist-unsub@sccn.ucsd.edu" target="_blank">eeglablist-unsub@sccn.ucsd.edu</a><br>
To switch to non-digest mode, send an empty email to <a href="mailto:eeglablist-nodigest@sccn.ucsd.edu" target="_blank">eeglablist-nodigest@sccn.ucsd.edu</a><br></blockquote></div><br><br clear="all"><br>-- <br>Daniel Góngora<br>
<a href="https://twitter.com/dm_gf" target="_blank">https://twitter.com/dm_gf</a><br>
<br>