[Eeglablist] Artifact removal validation

[Arnaud Delorme]

Hi Borna,

there is also our paper in Neuroimage which attempt to evaluate the 
different methods implemented in EEGLAB:

Delorme, A., Sejnowski, T., Makeig, S. (2007) Improved rejection of 
artifacts from EEG data using high-order statistics and independent 
component analysis. Neuroimage, 34, 1443-1449.

Best regards,

Arno

David Groppe wrote:
> Hi Borna,
>   I know of one algorithm for automatically identifying components 
> corresponding to blinks and eye movements:
>
> Joyce, C.A., Gorodnitsky, I.F. and Kutas, M. Automatic Removal of Eye 
> Movement and Blink Artifacts From EEG Data Using Blind Component 
> Separation, Psychophysiology, 2004, 41(2), 313-325.
>
>   They provide a bit of evidence that the method works and it could make
> your identification of such artifacts objective.
>    cheers,
>      -David
>
> dgroppe at cogsci.ucsd.edu
>
>
> On Tue, 19 Jun 2007, Borna Noureddin wrote:
>
>   
>> Hello,
>>
>> I have been working through the most recent tutorial on artifact 
>> rejection, and have a question about validation.  How can I validate or 
>> evaluate the performance of ICA for artifact removal?
>>
>> The tutorial gives some steps for identifying artifact components, but 
>> they are quite subjective.  This is further compounded by the fact that, 
>> given the same set of data, running ICA gives a different set of 
>> components each time.  So, even with an acceptable validation method, 
>> it's unclear how I can objectively and reliably apply that method.
>>
>> Is there, for example, a "post-artifact-removal" version of the tutorial 
>> dataset that can be compared with the original tutorial dataset provided 
>> with EEGLAB?  And if so, is there documentation about how precisely the 
>> artifacts were removed?
>>
>> Thanks,
>> Borna Noureddin
>>
>>
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>>     
>
>