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Dear mne-experts,
I have read meg data into python as follows:
raw = mne.io.read_raw_bti(fname, config_fname='config',
rename_channels=False, head_shape_fname='hs_file',preload=True)
Then, I tried to read events:
events = mne.find_events(raw, 'TRIGGER')
However, I get an error:
Removing orphaned offset at the beginning of the file.
635 events found
Events id: [ 34 100 102 104 106 110 112 114 120 200 202 204
206 208
210 220 222 2048]
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Hi,
it seems you detected events which are very close in time (less than 2 samples
so less than 2ms at 1kHz).
this is likely to be a glitch on your stim channel.
you can try to pass shortest_event=1 in find_events and inspect the events
obtained.
HTH
Alex
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Thanks for the answer!
Now I managed to read the evens.
Best,
Maria
ke 17. lokak. 2018 klo 15.37 Alexandre Gramfort (alexandre.gramfort at inria.fr)
kirjoitti:
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Hi,
it seems you detected events which are very close in time (less than 2
samples
so less than 2ms at 1kHz).this is likely to be a glitch on your stim channel.
you can try to pass shortest_event=1 in find_events and inspect the events
obtained.HTH
Alex_______________________________________________
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Mne_analysis at nmr.mgh.harvard.edu
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Dear MNE
There exists a realistic head model in OpenMEEG. Is this head model, the
co-registered (all work done) head model of the MNE-data set?
Basically, can I use the realistic openMEEG head model, and the MNE-data
set, measurement(time-series) to do reconstructions?
best regards parham
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hi parham,
MNE and OpenMEEG are not yet integrated although I started to do this.
For now you can use the builtin MNE BEM solver.
Alex
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Hi Alex
Thank you very much. You guys are doing a tremendous job with an amazing
contribution.
I have one additional question, there exists an example head model in
OpenMEEG.
More precisely, it exists in the directory
openmeeg_sample_data-master/data/model
I was wondering, whether this head model is the same one that is made
available in the mne-data set with all the co-registration and alignment
done already.
best regards parham
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no it's not the same.
you can use the MNE sample data if you want a BEM geometry to work.
http://martinos.org/mne/stable/auto_tutorials/plot_forward.html
HTH
Alex