[Eeglablist] P300 signal detection (Research Assistant)

Wed Oct 10 23:13:15 PDT 2012

Dear Habib Paracha

i could also refer you to "How about taking a low-cost, small, and 
wireless EEG for a walk? S. Debener et al. Psychophysiology 2012" in 
order to see how you could include central electrodes too.
best,
maarten

On 2012.10.11 00:28, Daniel Góngora wrote:
> Dear Habib Paracha,
> I would recommend you to follow the BCI2000 tutorial. You can find it
> here:
> http://www.bci2000.org/wiki/index.php/User_Tutorial:P300_BCI_Tutorial
> [16]
>
> 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.
>
> Regards,
>
>  Daniel Góngora
>
> On Wed, Oct 10, 2012 at 3:00 PM, <eeglablist-request at sccn.ucsd.edu
> [17]> wrote:
>
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>> Today's Topics:
>>
>>    1. P300 signal detection (Research Assistant)
>>    2. ICA problema Massimiliano Papera (Massimiliano Papera)
>>
>> ---------- Forwarded message ----------
>> From: Research Assistant <ra_lums at hotmail.co.uk [5]>
>> To: <eeglablist at sccn.ucsd.edu [6]>
>> Cc: 
>> Date: Wed, 10 Oct 2012 11:44:17 +0500
>> Subject: [Eeglablist] P300 signal detection
>>
>> Hi all,
>>
>> 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: http://neurofeedback.visaduma.info/emotivresearch.htm [7]
>>
>> But I am unable to find anything significant.
>> Can someone help me please and guide me how to proceed.
>>
>> Regards,
>>
>> Habib Paracha
>>
>> ---------- Forwarded message ----------
>> From: Massimiliano Papera <massimiliano.papera at googlemail.com [8]>
>> To: eeglablist at sccn.ucsd.edu [9]
>> Cc: 
>> Date: Wed, 10 Oct 2012 14:12:07 +0100
>> Subject: [Eeglablist] ICA problema Massimiliano Papera
>> Dear all,
>>
>> I am just about to run the ICA and I just incurred in this statement
>> in the tutorial:
>>
>> '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 _pca_ option under the Tools > Run ICA pop-up window, type _
>> 'pca', '10' _ in the Commandline options box to reduce the data
>> dimensions to the number of remaining components (here 10), before
>> running ICA (see runica.m [10]. 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.'
>>
>> this is from         
>> http://sccn.ucsd.edu/wiki/Chapter_09:_Decomposing_Data_Using_ICA
>> [11]
>>
>> 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?
>>
>> Thank you very much for your help.
>>
>> Cheers
>> Massimiliano Papera
>>
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> --
> Daniel Góngora
>  https://twitter.com/dm_gf [18]
>
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