[Eeglablist] How to split signals into the trials?

[Makoto Miyakoshi]

Dear Santosh,

Go through this tutorial first.
http://sccn.ucsd.edu/eeglab/eeglabtut.html

Makoto

On Tue, Jul 28, 2015 at 2:47 AM, santosh biradar <
santosh.a.biradar123 at gmail.com> wrote:

> Hi brothers and sisters
>
> I am new to eeg processing I now installed Matlab in my lap please guide
> me how I can go step by step for EEG processing
>
> Thanks in advance
>
> On Tue, Jun 30, 2015 at 1:32 AM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
> wrote:
>
>> 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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>


-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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