[Eeglablist] EEG parameterization

mullen.tim at gmail.com mullen.tim at gmail.com
Wed Jan 8 18:04:46 PST 2014

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. 


-----Original Message-----
Date: Wednesday, January 08, 2014 1:40:42 pm
To: "EEGLAB-list" <eeglablist at sccn.ucsd.edu>
From: "Ibtissem KHOUAJA BENFRADJ" <ibtissem.khouaja at live.fr>
Subject: Re: [Eeglablist] EEG parameterization

Thank you very much for your answers and happy new year 2014.
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.
This gives the possibility of reconstructing the signal and to predict its evolution.
Is there someone who work with this type of auto-regressive filter?I need the algorithm in Matlab.
Thank a lot for your precious help, Ibtissem

> From: poil.simonshlomo at gmail.com
> Date: Thu, 19 Dec 2013 21:43:51 +0100
> Subject: Re: [Eeglablist] EEG parameterization
> To: ibtissem.khouaja at live.fr
> CC: eeglablist at sccn.ucsd.edu
> Dear Ibtissem,
> There are several ways you can characterize an EEG signal. The two
> basic are frequency and amplitude in different frequency bands (and
> spatial location). You can see more here:

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