Comments (3)
Indeed, that's a proper solution for now. We have recently introduced a new processing pipeline framework that is quite powerful but that is not completely tested and integrated as it is still under development. We will probably continue to work on it in the next few months. You can take a look into the file test_ttih.py
to see how to use it while we document it.
If you only need to extract data from the Muse without processing, you can bypass the pipeline and fetch the data from the IO. Any feedback would be helpful for us, although the development is still very preliminary!
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@mrmayfield thanks for your interest. You are right! pyMuse gets the data sent by MuseIO
via OSC messages and Muse2016 doesn't support MuseIO
. We haven't tested it as we don't have any Muse2016.
It would be nice to bypass MuseIO
and integrate Bluetooth support directly into pyMuse. We will work on it!
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Thanks for the response. I am able to get those OSC signals via the Muse Monitor app though. I think that's the best workaround at the moment though you still have to sidestep MuseIO. I may hack around and see what I can come up with today to patch in support, what do you think?
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Related Issues (18)
- Change name of repository
- Add data recording and loading HOT 1
- Add a visualization interface
- Add frequency of the whole pipeline HOT 1
- No visualization of raw data HOT 1
- Add band-pass filtering process HOT 3
- Change the way processes are passed to the Pipeline HOT 1
- larger window size for processing
- eeg_display.py calls abset class from viz.py HOT 8
- Speed-up visualisation
- asd
- Add README to Pong game folder for dependencies
- Display does not work HOT 3
- The pipeline cannot be stopped HOT 1
- Add IO for OpenBCI HOT 1
- Add IO for Raspberry Pi
- Add event detection in analysis pipeline
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