EEG/MEG adaptive segmentation

Robert Oostenveld r.oostenveld at FCDONDERS.RU.NL
Wed Mar 8 12:35:19 CET 2006


On 7 Mar 2006, at 12:53, Laura Espino wrote:
> I´m starting to work with adaptive segmentation in EEG/MEG based on  
> the detection of transitions in the signal state for  further  
> feature extraction.
> Is there in fieldtrip some algorithms already developed for this  
> purpose?

Hi Laura,

No, something exactly like that is not implemented. But if you look  
at the fieldtrip website (http://www.ru.nl/fcdonders/fieldtrip),  
under documentation, example matlab scripts, then you will see an  
example trial function that detects transitions in the EMG signal  
(i.e. start and end of muscle activity) and that defines trials in  
which there is muscle activity. Those trials are read in and can then  
further be analyzed. That script is the closest to what you describe  
that I can think of.

best regards,
Robert Oostenveld

PS the full link to the script is
http://www2.ru.nl/fcdonders/fieldtrip/doku.php? 
id=fieldtrip:documentation:detect_the_muscle_activity_in_an_emg_channel_ 
and_use_that_as_trial_definition



~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Robert Oostenveld, PhD
F.C. Donders Centre for Cognitive Neuroimaging
Radboud University Nijmegen
phone: +31-24-3619695
http://www.ru.nl/fcdonders/
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~



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