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<div dir="ltr"><div><div><br></div><div>Thank you very much for your answers and happy new year 2014.</div><div><br></div><div>On my first question, <span style="font-size: 12pt;">I am based on your set and literature </span></div><div>and I will present the EEG signal from a set of evolutionary parameters based on the Kalman filter.</div><div><br></div><div>This gives the possibility of reconstructing the signal and to predict its evolution.</div></div><div><br></div><div><div>Is there someone who work with this type of auto-regressive filter?</div><div>I need the algorithm in Matlab.</div></div><div><br></div><div>Thank a lot for your precious help, Ibtissem</div><div><br></div><div><br></div><div><br></div><div><br></div>---------------------------------------------------------------------------<br>---------------------------------------------------------------------------<br><div>> From: poil.simonshlomo@gmail.com<br>> Date: Thu, 19 Dec 2013 21:43:51 +0100<br>> Subject: Re: [Eeglablist] EEG parameterization<br>> To: ibtissem.khouaja@live.fr<br>> CC: eeglablist@sccn.ucsd.edu<br>> <br>> Dear Ibtissem,<br>> <br>> There are several ways you can characterize an EEG signal. The two<br>> basic are frequency and amplitude in different frequency bands (and<br>> spatial location). You can see more here:<br>> http://www.nbtwiki.net/doku.php?id=tutorial:list_of_biomarkers#.UrNWI42E4gg<br>> <br>> "Moving EEG waves"? Maybe you should look into EEG microstate analysis<br>> > http://en.wikipedia.org/wiki/EEG_microstates - or estimate the EEG<br>> sources at different time points :<br>> http://www.nbtwiki.net/doku.php?id=tutorial:tutorial_dipoles#.UrNaLY2E4gg<br>> <br>> Best wishes,<br>> Simon-Shlomo Poil<br>> <br>> --<br>> Simon-Shlomo Poil, Dr.<br>> <br>> Mobile number: +41 (0)76 399 5809<br>> LinkedIn profile: http://ch.linkedin.com/in/simonshlomopoil/<br>> <br>> The Neurophysiological Biomarker Toolbox (NBT): http://www.nbtwiki.net<br>> <br>> My latest publications:<br>> Integrative EEG biomarkers predict progression to Alzheimer's disease<br>> at the MCI stage: http://l.nbtwiki.net/19jMuy8<br>> <br>> The Amsterdam Resting-State Questionnaire reveals multiple phenotypes<br>> of resting-state cognition: http://l.nbtwiki.net/17yblK7<br>> <br>> <br>> <br>> 2013/12/17 Ibtissem KHOUAJA BENFRADJ <ibtissem.khouaja@live.fr>:<br>> > Dear list,<br>> ><br>> > I have three questions<br>> ><br>> > First, I would like to know how to parameterize an EEG signal,<br>> > to describe it in form of a set of relevant parameters.<br>> ><br>> > Second, what are exactly these characteristic parameters which can be<br>> > estimated from a physiological signals?<br>> ><br>> > Third, Is there any methods that calculate the propagation of the EEG wave<br>> > from<br>> > location X1 at t1 to another location X2 at t + dt?<br>> ><br>> > Thanks a lot for your help,<br>> ><br>> > Best regards, Ibtissem<br>> ><br>> > _______________________________________________<br>> > Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html<br>> > To unsubscribe, send an empty email to eeglablist-unsubscribe@sccn.ucsd.edu<br>> > For digest mode, send an email with the subject "set digest mime" to<br>> > eeglablist-request@sccn.ucsd.edu<br></div></div>
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