How to generate the EEG background noise and interference

[Vladimir Litvak]

Dear Hung,

A simple and convincing thing to do would be to combine simulated data
with real data. For instance if you are talking about ERP, you can add
your simulated responses  to a real recording at times random with
respect to the original triggers. Then you will get your simulated ERP
with noise as real as it gets. By controlling the relative scaling of
the real and simulated data you can test different SNRs.

Best,

Vladimir

On Sat, Oct 24, 2009 at 7:39 AM, Hung Dang <hungptit at gmail.com> wrote:
> Dear all,
> Many researchers have been using Gaussian white noise as the additive
> noise for the  MEG/EEG signals to evaluate their inverse algorithm,
> however, this assumption may not true for the real MEG/EEG signals. I
> try to google for a while and have not find any good reference.
> So my question is how could we generate a more realistic MEG/EEG signal,
> interference, and noise to obtain a better judgment of how good are
> inverse solutions?
>
> Have a nice weekend
> Hung
>
> ----------------------------------
> The aim of this list is to facilitate the discussion between users of the FieldTrip  toolbox, to share experiences and to discuss new ideas for MEG and EEG analysis. See also http://listserv.surfnet.nl/archives/fieldtrip.html and http://www.ru.nl/neuroimaging/fieldtrip.
>
>

----------------------------------
The aim of this list is to facilitate the discussion between users of the FieldTrip  toolbox, to share experiences and to discuss new ideas for MEG and EEG analysis. See also http://listserv.surfnet.nl/archives/fieldtrip.html and http://www.ru.nl/neuroimaging/fieldtrip.