<html>
<head>
<style><!--
.hmmessage P
{
margin:0px;
padding:0px
}
body.hmmessage
{
font-size: 12pt;
font-family:Calibri
}
--></style></head>
<body class='hmmessage'><div dir='ltr'><div> <div id="gt-res-content" class="almost_half_cell"><div dir="ltr" style="zoom:1"><span id="result_box" class="short_text" lang="en"><span class="hps">Dear List, <br><br>Thank you</span> <span class="hps">for all your answers</span> <span class="hps">are</span> <span class="hps">very helpful <br></span></span></div></div><br>Now I'd like to know how can we describe an EEG signal as a time series of the form: </div><div><div><br></div><div> Y1(t)=0.5y(n-1)-0.7-y-2)+....<wbr>.+erreur</div>
<div><br></div><div>I want to know the method which help me to find the coefficients (0.5;0.7) by hand. <br></div><div>knowing that the signals that I treat are in the form of a matrix (19*207000) stretched in almost 5 minutes</div>
</div><div><br></div><div>The goal is to study the time and space variance between electrodes. </div><div><div>I found this method of linearization on the internet and I am trying to read several articles that discuss it. </div>
<div>but I can not turn my signal on this form.</div></div><div><br></div><div>Thak you in advance for your help</div><div><br></div><div>Best Regards</div><div class="yj6qo ajU"><div data-tooltip="Afficher le contenu abrégé" id=":er" class="ajR" role="button" tabindex="0"><img class="ajT" src="https://mail.google.com/mail/images/cleardot.gif"></div></div><br><br><div><font style="background-color:rgb(255, 255, 255);" color="#666666" face="Comic Sans MS" size="2">----------------------------------------------------------</font></div><div><font style="background-color:rgb(255, 255, 255);" color="#666666" face="Comic Sans MS" size="2">----------------------------------------------------------</font></div><font style="background-color: rgb(255, 255, 255); font-size: 10pt;" color="#666666" face="Comic Sans MS" size="2">Ibtissem KHOUAJA BENFRADJ</font><div><span style="background-color:rgb(255, 255, 255);"><font color="#666666" face="Comic Sans MS" size="2">PhD in computer science</font></span></div><div><span style="background-color:rgb(255, 255, 255);"><font color="#666666" face="Comic Sans MS" size="2">Speciality Signal Processing</font></span></div><div><span style="background-color:rgb(255, 255, 255);"><font color="#666666" face="Comic Sans MS" size="2">Laboratory LTIM, University of Monastir, Tunisia</font></span></div><div><a href="http://www.labtim.org/accueil.php" target="_blank"><font style="background-color:rgb(255, 255, 255);" color="#666666" face="Comic Sans MS" size="2">http://www.labtim.org/accueil.php</font></a></div><div><span style="background-color:rgb(255, 255, 255);"><font color="#666666" face="Comic Sans MS" size="2">Laboratory LIGM, Univerisity of Paris-East, France </font></span></div><div><a href="http://ligm.u-pem.fr/" target="_blank"><font style="background-color:rgb(255, 255, 255);" color="#666666" face="Comic Sans MS" size="2">http://ligm.u-pem.fr/</font></a></div><div><span style="background-color:rgb(255, 255, 255);"><font color="#666666" face="Comic Sans MS" size="2"><br></font></span></div><div><span style="font-size:12pt;"><br></span></div><br><br><div><hr id="stopSpelling">From: ibtissem.khouaja@live.fr<br>To: mullen.tim@gmail.com<br>Date: Tue, 28 Jan 2014 01:10:11 +0100<br>CC: eeglablist@sccn.ucsd.edu<br>Subject: Re: [Eeglablist] EEG parameterization<br><br>
<style><!--
.ExternalClass .ecxhmmessage P {
padding:0px;
}
.ExternalClass body.ecxhmmessage {
font-size:12pt;
font-family:Calibri;
}
--></style>
<div dir="ltr"><font style="" color="#000000" face="Times New Roman"><br id="ecxFontBreak"></font>Thank you Tim so much for your answers, <span id="ecxresult_box" lang="en"><span class="ecxhps">your</span> <span class="ecxhps">support</span> <span class="ecxhps">keeps me going</span> <span class="ecxhps"><br>and</span>help me <span class="ecxhps">to</span> <span class="ecxhps">better understand the needs</span> <span class="ecxhps">of my work.</span> <br><br><span class="ecxhps"><br>I extrcted the matrix chains EEG from an (.edf) file, <br></span></span><span id="ecxresult_box" lang="en"><span class="ecxhps"><span id="ecxresult_box" lang="en"><span class="ecxhps">I want to find</span> <span class="ecxhps">the linear equation</span> <span class="ecxhps">that characterizes</span> <span class="ecxhps">the dynamics of these</span> <span class="ecxhps">signals</span> <span class="ecxhps">as described</span> <span class="ecxhps">in the article:</span><br> <span class="ecxhps">"A</span> <span class="ecxhps">MATLAB</span> <span class="ecxhps">toolbox</span> <span class="ecxhps">for</span> <span class="ecxhps">Granger</span> <span class="ecxhps">causal</span> <span class="ecxhps">connectivity</span> <span class="ecxhps">analysis",<br></span></span></span></span><br>x1(t) = 0.95 √2x1(t − 1) − 0.9025x1(t − 2) + w1(t)<br>x2(t) = 0.5x1(t − 2) + w2(t)<br>x3(t) = −0.4x1(t − 3) + w3(t)<br>x4(t) = −0.5x1(t − 2) + 0.25√2x4(t − 1) + 0.25√2x5(t − 1)+w4(t)<br>x5(t) = −0.25√2x4(t − 1) + 0.25√2x5(t − 1) +w5(t)<br><br><span id="ecxresult_box" lang="en"><span class="ecxhps">how</span> <span class="ecxhps">these factors</span> <span class="ecxhps">can be extracted?<br><br>thanks in advance,</span></span><br><br><font style="background-color:rgb(255, 255, 255);font-size:10pt;" color="#666666" face="Comic Sans MS" size="2">Ibtissem KHOUAJA BENFRADJ</font><div><span style="background-color:rgb(255, 255, 255);"><font color="#666666" face="Comic Sans MS" size="2">PhD in computer science</font></span></div><div><span style="background-color:rgb(255, 255, 255);"><font color="#666666" face="Comic Sans MS" size="2">Speciality Signal Processing</font></span></div><div><span style="background-color:rgb(255, 255, 255);"><font color="#666666" face="Comic Sans MS" size="2">Laboratory LTIM, University of Monastir, Tunisia</font></span></div><div><a href="http://www.labtim.org/accueil.php" target="_blank"><font style="background-color:rgb(255, 255, 255);" color="#666666" face="Comic Sans MS" size="2">http://www.labtim.org/accueil.php</font></a></div><div><span style="background-color:rgb(255, 255, 255);"><font color="#666666" face="Comic Sans MS" size="2">Laboratory LIGM, Univerisity of Paris-East, France </font></span></div><div><a href="http://ligm.u-pem.fr/" target="_blank"><font style="background-color:rgb(255, 255, 255);" color="#666666" face="Comic Sans MS" size="2">http://ligm.u-pem.fr/</font></a></div><div><span style="background-color:rgb(255, 255, 255);"><font color="#666666" face="Comic Sans MS" size="2"><br></font></span></div><div><span style="font-size:12pt;"><br></span></div><br><div><div dir="ltr"><div><br><div><hr id="ecxstopSpelling">From: mullen.tim@gmail.com<br>Date: Wed, 15 Jan 2014 18:26:48 -0800<br>Subject: Re: [Eeglablist] EEG parameterization<br>To: ibtissem.khouaja@live.fr<br>CC: eeglablist@sccn.ucsd.edu<br><br><div dir="ltr">The function (<sift-root>/est/est_fitMVAR_DEKF.m) is included in SIFT 1.0-beta and later, which you can obtain from the EEGLAB plugin manager or the SIFT website.<div><br></div><div>Best,</div><div>Tim</div>
</div><div class="ecxgmail_extra"><br><br><div class="ecxgmail_quote">On Wed, Jan 15, 2014 at 5:28 AM, Ibtissem KHOUAJA BENFRADJ <span dir="ltr"><<a href="mailto:ibtissem.khouaja@live.fr" target="_blank">ibtissem.khouaja@live.fr</a>></span> wrote:<br>
<blockquote class="ecxgmail_quote" style="border-left:1px #ccc solid;padding-left:1ex;">
<div><div dir="ltr"><font color="#000000" face="Times New Roman"><br></font>Thank you Tim,<br>I actually need the non linear filter to study the EEG signaland to extract these features.<br><br>I find the linear filte (est_fitMVARKalman) on the net but I can't find the socond one (est_fitMVAREKF).<br>
Can you send me the link.<br><br>thanks a lot.<br><font style="font-size:10pt;" color="#666666" face="Comic Sans MS">-----------</font><font style="font-size:10pt;" color="#666666" face="Comic Sans MS"><br>Ibtissem KHOUAJA BENFRADJ</font><div>
<span><font color="#666666" face="Comic Sans MS">PhD in computer science</font></span></div><div><span><font color="#666666" face="Comic Sans MS">Speciality Signal Processing</font></span></div><div><span><font color="#666666" face="Comic Sans MS">Laboratory LTIM, University of Monastir, Tunisia</font></span></div>
<div><a href="http://www.labtim.org/accueil.php" target="_blank"><font color="#666666" face="Comic Sans MS">http://www.labtim.org/accueil.php</font></a></div><div><span><font color="#666666" face="Comic Sans MS">Laboratory LIGM, Univerisity of Paris-East, France </font></span></div>
<div><a href="http://ligm.u-pem.fr/" target="_blank"><font color="#666666" face="Comic Sans MS">http://ligm.u-pem.fr/</font></a></div><div><span><font color="#666666" face="Comic Sans MS"><br></font></span></div>
<div><span style="font-size:12pt;"><br></span></div><br><br><div>> Date: Wed, 8 Jan 2014 18:04:46 -0800<div class="ecxim"><br>> Subject: Re: [Eeglablist] EEG parameterization<br></div>> From: <a href="mailto:mullen.tim@gmail.com" target="_blank">mullen.tim@gmail.com</a><br>
> To: <a href="mailto:ibtissem.khouaja@live.fr" target="_blank">ibtissem.khouaja@live.fr</a>; <a href="mailto:eeglablist@sccn.ucsd.edu" target="_blank">eeglablist@sccn.ucsd.edu</a><br>> CC: <br><div><div class="h5">
> <br>> There are linear and nonlinear kalman filter-based multivariate autoregressive implementations in the Source Information Flow Toolbox for EEGLAB. See est_fitMVARKalman and est_fitMVARDEKF. <br>> <br>> Tim<br>
> <br>> -----Original Message-----<br>> Date: Wednesday, January 08, 2014 1:40:42 pm<br>> To: "EEGLAB-list" <<a href="mailto:eeglablist@sccn.ucsd.edu" target="_blank">eeglablist@sccn.ucsd.edu</a>><br>
> From: "Ibtissem KHOUAJA BENFRADJ" <<a href="mailto:ibtissem.khouaja@live.fr" target="_blank">ibtissem.khouaja@live.fr</a>><br>> Subject: Re: [Eeglablist] EEG parameterization<br>> <br>> <br>
> <br>
> <br>> <br>> Thank you very much for your answers and happy new year 2014.<br>> On my first question, I am based on your set and literature and I will present the EEG signal from a set of evolutionary parameters based on the Kalman filter.<br>
> This gives the possibility of reconstructing the signal and to predict its evolution.<br>> Is there someone who work with this type of auto-regressive filter?I need the algorithm in Matlab.<br>> Thank a lot for your precious help, Ibtissem<br>
> <br>> <br>> <br>> ---------------------------------------------------------------------------<br>> ---------------------------------------------------------------------------<br>> > From: <a href="mailto:poil.simonshlomo@gmail.com" target="_blank">poil.simonshlomo@gmail.com</a><br>
> > Date: Thu, 19 Dec 2013 21:43:51 +0100<br>> > Subject: Re: [Eeglablist] EEG parameterization<br>> > To: <a href="mailto:ibtissem.khouaja@live.fr" target="_blank">ibtissem.khouaja@live.fr</a><br>> > CC: <a href="mailto:eeglablist@sccn.ucsd.edu" target="_blank">eeglablist@sccn.ucsd.edu</a><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>
> <br></div></div></div> </div></div>
</blockquote></div><br><br clear="all"><div><br></div>-- <br>--------- αντίληψη -----------
</div></div></div> </div>
<br>_______________________________________________
Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
To unsubscribe, send an empty email to eeglablist-unsubscribe@sccn.ucsd.edu
For digest mode, send an email with the subject "set digest mime" to eeglablist-request@sccn.ucsd.edu</div> </div>
<br>_______________________________________________
Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
To unsubscribe, send an empty email to eeglablist-unsubscribe@sccn.ucsd.edu
For digest mode, send an email with the subject "set digest mime" to eeglablist-request@sccn.ucsd.edu</div> </div></body>
</html>