[Eeglablist] FW: signal prediction in Matlab

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Wed Mar 27 10:00:13 PDT 2013


Dear Ibtissem,

Check out topoplot.m line 951. It interpolates the channels.

Makoto

2013/3/26 Ibtissem Khouaja b.Fraj <ibtissem.khouaja at live.fr>

>
>  Hello,
> thank you for your reply.
>
> My project is just to insert a new point that does not really exist on the
> scalp.
> After the prediction of the amplitude variation of this point at any time,
> it will be covered by an electrode and we test the validity of the
> prediction algorithm.
> For example, between points Cz, Pz and C4  that already knows the
> amplitude variation, we seek a point X which lies between these three
> points.
>
> There exists an algorithm very useful in image processing and in
> increasing the number of pixels in an image, is called the bilinear
> interpolation algorithm. I don't know if it can be helpful in my project or
> not.
> I work with Matlab and I need some algorithme to solve the problem.
>
> help me please, thank you!
>
> Ibti ssem
>
>
>
> > Date: Tue, 12 Mar 2013 14:27:52 -0400
> > Subject: Re: [Eeglablist] signal prediction in Matlab
> > From: vivek.yadav at gmail.com
> > To: ibtissem.khouaja at live.fr
> >
> > hello,
> > try spherical interpolation in EEG.
> > thanks
> >
> >
> > On Tue, Mar 12, 2013 at 4:33 AM, Ibtissem Khouaja b.Fraj
> > <ibtissem.khouaja at live.fr> wrote:
> > >
>
> --------------------------------------------------------------------------------
>
>
>  Hi all,
> > &g! t; knowing the location of recording signals on the scalp, I want to
> pred new
>
> > > locations not covered by electrodes to refine the result.
> > > I need an algorithme in Matlab to do the linear prediction from the
> matrice
> > > describing 18 sites.
> > >
> > > hope you understand my question.
> > > Thank a lot.
> > >
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> >
> >
> > --
> > Vivek Yadav, PhD
> > Post-Doctoral Scholar,
> > Movement Neuroscience Lab,
> > 29 Rec Hall,
> > Pennsylvania State University,
> > University Park, PA-16801
> >
> > "Nothing in life is to b! e feared, it is only to be understood." ~
> Marie Curie
>
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-- 
Makoto Miyakoshi
JSPS Postdoctral Fellow for Research Abroad
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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