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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