[Eeglablist] SNR effect

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Tue Feb 18 14:29:50 PST 2014

Dear Kais,

Sorry for slow response. It depends on your definition of signal (I guess
you are speaking in the context of BCI or machine learning...) If your
target is SSVEP then your signal is defined by the stimulus. If you are
talking about resting state measurement, your signal should be occipital
alpha. There must be individual differences, and the central frequency of
the occipital alpha could vary from 6 to 14 depending of subject age and
arousal etc.


2014-02-02 4:50 GMT-08:00 Kais Belwafi <kais.phd at gmail.com>:

> Dear all,
> I try to use filter design to improve the signal to noise ratio (SNR), I
> make some test by changing every time the order of filter to response for
> SNR attenuation on the stopband. The objective here is to find the best SNR
> value that give a good classification result. Please how can I fixed the
> SNR value or if you have reference or any suggestion is very welcome.
> Thank you
> Best regards
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Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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