[Eeglablist] How to split signals into the trials?

[Makoto Miyakoshi]

Dear Amin,

> I need you guidance on how to extract trials and the use these trials to
make a feature vector to train the ann????

You need event markers first. If you do, then you can write a simple for
loop, or use mcolon() to extract epochs... you can of course use EEGLAB to
do it.

> Another question is that should i use the 3 channels or one of them is
sufficient?

Use all the channels and find the best one from results. Alternatively, run
ICA on all the channels and use the one that looks like signal.

Makoto

On Mon, Jun 22, 2015 at 12:14 PM, Amin SHahamiri <aminshahamiri at gmail.com>
wrote:

> Hi to all specialist.
> I am a post graduate student and my thesis is around recognizing and
> classifying brain signals.
> I've been having problem splitting the signals into the trials that I can
> train a artificial neuron network.
> I've been using a dataset from BCI Competition 2008 "Graz dataset B" and I
> load the signal via this command :
>
> [s , h] = sload('B0101T.gdf')
>
> and it loads signals as s and header as h into the workspace. s includes 6
> columns refer to C3 , C4 and Cz. h includes 3 sub-variables as h.EVENT.POS
> (position of occurrence)   h.EVENT.TYP ( type ) and h.EVENT.DUR ( duration).
> I need you guidance on how to extract trials and the use these trials to
> make a feature vector to train the ann????
> Another question is that should i use the 3 channels or one of them is
> sufficient?
> I appreciate your response.
> Thanks a lot.
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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