[Eeglablist] ICA component rejection

[Makoto Miyakoshi]

Dear Mostafa,

> 1)Can I append these 5-sec data together for creating a longer data and
after that use the ICA?

Yes, for ICA longer the data better the decomposition. If possible, use
even continuous data.

> 2) If the first question is yes can I separate my data again to 5-sec and
use the ICA weights of merged data?

Yes. You can actually epoch the data normally after ICA.

Makoto

On Fri, May 8, 2015 at 1:34 PM, Mostafa IR <mostafa.rouzbahani at gmail.com>
wrote:

> Dear Laura
> I will be glad to use your plugin and count on your help.
>
> Dear Makoto
> Thanks for your link and your advice. I used to make a big mistake about
> ICA with neglect of data point rule of thumb.
> I have a new question. My data is about emotions. In my case the person
> saw a picture for 5-sec and eeg with 16 channels at 512HZ captured. 10
> picture with the same content show to the person.
> 1)Can I append these 5-sec data together for creating a longer data and
> after that use the ICA?
> 2) If the first question is yes can I separate my data again to 5-sec and
> use the ICA weights of merged data?
>
> Best Regards
>
> On Fri, May 8, 2015 at 23:37 Makoto Miyakoshi <mmiyakoshi at ucsd.edu> wrote:
>
>> Dear Mostafa,
>>
>> First of all, how did you get ICA work on the 5-sec data?
>>
>> For the example of efficient and flexible group-level IC rejection, see
>> my wiki page below.
>> http://sccn.ucsd.edu/wiki/Backproject_clustered_ICs
>>
>> Makoto
>>
>> On Fri, May 8, 2015 at 12:14 AM, Mostafa IR <mostafa.rouzbahani at gmail.com
>> > wrote:
>>
>>> Hi
>>>
>>> I want reject bad component after ICA analysis. I read the chapter09 ,
>>> Julie Onton
>>> Scott Makeig paper and ... . Except eye artifact the others are very
>>> hard to distinguish in other hand my data is very large(360 data set each
>>> one 5s without any event) and it's hard to reject all of them manually. I
>>> try to use MARA  plugins but it need at least 15s of EEG which my data are
>>> 5s. Is there any other plugin to help me for bad component rejection
>>> automatically?
>>>
>>> Thank you
>>>
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>>
>>
>>
>> --
>> Makoto Miyakoshi
>> Swartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego
>>
>


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