Hello, I work at the Brain Electrophysiology Lab Company and we're looking into using MNE Analyze. There are a few potential features we are interested in.
- Loading events from
.evefiles: I see that events can be saved to a.evefile but I don't see any way to load one of these files. - Saving averages to a file: After an average is computed, it shows up under the Data tab, but when I select it and attempt to save it to a file with File > Save, I get a debug message like this:
[DEBUG] [AbstractModel::saveToFile] Saving data to "/path/to/file.fif" is not implemented for MODELTYPE = 5. - Loading averages from a file: If the averages can be saved to a file, we would like to be able to load them from a file as well.
- MFF support: Most of our applications use EGI's MFF file format and we would like to be able to use MFFs here as well. It seems like one option would be to convert MFFs to an FIF beforehand.
We are interested in working to contribute these features to the codebase if there's agreement that they would be useful.
@ianbrown9475 Hi, contributions are always greatly appreciated :)
1) Currently we only supporting reading events from fif file. See here https://github.com/mne-tools/mne-cpp/blob/226bf9036c4e73d393840d7bab2b06693430c471/libraries/mne/mne.cpp#L64. There is some code for loading text file based events commented out though. I guess adding code to read from .eve can be easily achieved, e.g., by using QTextStream.
2) In order to write the average data to file the virtual saveToFile function needs to be implemented for the AverageModel: https://github.com/mne-tools/mne-cpp/blob/226bf9036c4e73d393840d7bab2b06693430c471/applications/mne_analyze/libs/anShared/Model/abstractmodel.h#L222
3) Same as in 2) but for the constructor taking a file path: https://github.com/mne-tools/mne-cpp/blob/226bf9036c4e73d393840d7bab2b06693430c471/applications/mne_analyze/libs/anShared/Model/abstractmodel.h#L124
4) We are planning to implement a more abstract input output library which maps to an internal mne-cpp data format. Support for MFF would be great to have!
Feel free to stop by our slack channel: https://join.slack.com/t/mne-cpp/shared_invite/zt-cm5uwh2q-NLx92vkfNuT0Qf2iCq8TAA