What types of data are in there? The error message suggests that there is
data with different sampling rates. Do you have channels with different
sampling rates? If yes, can you re-export the data removing the data with
different sampling rates?
Thank you for you help. This file only includes signals of 128 channels
with same sample rate.
After that, I input EGI Net Station data into BrainVision and then save as
EDF file. This BrainVision EDF file can be converted to FIF file.
I used matlab toolbox to read this FIF file and its header information and
data are correct.
But I can not display it in the mne_browse_raw (see attached screenshot).
Best
Xiaoxiao
Hi Xiaoxiao,
What types of data are in there? The error message suggests that there is
data with different sampling rates. Do you have channels with different
sampling rates? If yes, can you re-export the data removing the data with
different sampling rates?
HTH,
D
Hi all MEN users,
I used Net station to save recorded EEG data to EDF format. When I used
mne_edf2fiff to convert our EDF file to FIF file, I got this error message,
mne_edf2fiff version 1.6 compiled at Dec 21 2009 19:46:35
EDF/EDF+/BDF file (input) : Recording_9_fil.edf
No electrode position data specified.
fif file (output) : Recording_9_fil.fif
Parsing EDF/EDF+/BDF header...[failed]
Unequal sampling rates across data channels are not supported.
Best
Xiaoxiao
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You can add the digitizer data from the raw kit data to the raw egi data. There are no built in functions for this but it shouldn't be too hard just be sure to match them up correctly. However currently raw data from one MEG and a different EEG system can't be combined because a lot of checks and potentially some corrections need to be done to combine these data. The kind of approximation the epic hung code makes is not safe to use on long stretches of data like you have in raw files.
Hth
D
it turns out I misread your question.
If you want to add the electrode positions manually
you have to update the corresponding fields in the raw.info['chs'] for each
channel. It's the first three entries in the 'loc' and the the first row of
the matrix in 'eeg_loc'.
