Hi Habib,<br>do you mean there is no statistically significant differences in P300 mplitudes between your conditions or are you stuck somewhere before reaching this stage?<br>Directions given at <a href="http://neurofeedback.visaduma.info/emotivresearch.htm" style="font-size:10pt" target="_blank">http://neurofeedback.visaduma.info/emotivresearch.htm</a><span onmouseout="cancel = false; window.setTimeout(WRCHideContent, 1000); clearTimeout(showTimer);" onmouseover=" var self = this; showTimer = window.setTimeout(function(){WRCShowContent({'rating':{'value':-1,'weight':-1},'flags':{'shopping':null,'social':null,'news':null,'it':null,'corporate':null,'pornography':null,'violence':null,'gambling':null,'drugs':null,'illegal':null},'single':true,'ttl':null}, self.className)},600);" class="wrc0" style="padding-right:16px;width:16px;height:16px"></span> should work. You have to be sure you gather enough EEG data trials though, as the recording device you use is quite sensitive to noise and interferences. 100 trials should be a minimum in each conditions (attended VS non-attended) in a first step to check that your P300 paradigm works.<br>
<br>Regards<br>Romain<br><br><div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">---------- Message transféré ----------<br>From: Research Assistant <<a href="mailto:ra_lums@hotmail.co.uk">ra_lums@hotmail.co.uk</a>><br>
To: <<a href="mailto:eeglablist@sccn.ucsd.edu">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><span onmouseout="cancel = false; window.setTimeout(WRCHideContent, 1000); clearTimeout(showTimer);" onmouseover=" var self = this; showTimer = window.setTimeout(function(){WRCShowContent({'rating':{'value':-1,'weight':-1},'flags':{'shopping':null,'social':null,'news':null,'it':null,'corporate':null,'pornography':null,'violence':null,'gambling':null,'drugs':null,'illegal':null},'single':true,'ttl':null}, self.className)},600);" class="wrc0" style="padding-right:16px;width:16px;height:16px"></span></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>---------- Message transféré ----------<br>From: Massimiliano Papera <<a href="mailto:massimiliano.papera@googlemail.com">massimiliano.papera@googlemail.com</a>><br>To: <a href="mailto:eeglablist@sccn.ucsd.edu">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><span onmouseout="cancel = false; window.setTimeout(WRCHideContent, 1000); clearTimeout(showTimer);" onmouseover=" var self = this; showTimer = window.setTimeout(function(){WRCShowContent({'rating':{'value':100,'weight':12},'flags':{},'single':true,'ttl':7200,'expireTime':'20121011153349'}, self.className)},600);" class="wrc11" style="padding-right:16px;width:16px;height:16px"></span>.
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><span onmouseout="cancel = false; window.setTimeout(WRCHideContent, 1000); clearTimeout(showTimer);" onmouseover=" var self = this; showTimer = window.setTimeout(function(){WRCShowContent({'rating':{'value':100,'weight':12},'flags':{},'single':true,'ttl':7200,'expireTime':'20121011153349'}, self.className)},600);" class="wrc11" style="padding-right:16px;width:16px;height:16px"></span><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>
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