input MUSE data into GUI or other analysis app ?
ckrobin
CA
Hi - I am wondering (hoping) someone might be able to offer advice re: piping MUSE data into the OpenBCI GUI + Brainflow analysis software. MUSE offers an SDK, but because we are working with a heterogenous assortment of devices, we'd like a uniform software platform on top of which to build an analytics pipeline. Is it possible to take MUSE data into the OpenBCI GUI and the Brainflow software? I've seen an open source MUSE-LSL package (https://github.com/alexandrebarachant/muse-lsl) so it seems possible to go MUSE -> LSL -> OpenBCI + Brainflow, but not entirely sure. Thanks!
Comments
Chris, hi.
There are MANY EEG / BCI packages that can input LSL streams. That is likely your best avenue. Such as:
Brainflow does not currently support Muse,
https://brainflow.readthedocs.io/en/stable/SupportedBoards.html
OpenBCI_GUI uses Brainflow library to access the OpenBCI devices (Cyton, Ganglion). So since Brainflow does not receive from Muse, this would be impossible. Even if Brainflow DID understand Muse, the additional code required to be added to the GUI, would be daunting.
Regards, William
Understand, thank you William!
Thanks again, and apologies for another follow-up. If you were attempting to use sensor input across multiple devices (OpenBCI supported and not OpenBCI supported) for both EEG and ECG, would you recommend trying to pipe all sensors into LSL streams and then analyzing using one of the EEG/BCI packages you mentioned? If so, which analysis software would you personally recommend if our goal is to build a common foundation for analysis across all devices? Again, thank you!
You might explore some variant of MNE. It can do both post-recording analysis and handles real-time BCI as well. It's under active funding and development. See this related thread:
https://openbci.com/forum/index.php?p=/discussion/2493/software-for-pure-hybrid-bci-development
https://mne.tools/stable/index.html
https://icarerp.nih.gov/project/device-independent-acquisition-and-real-time-spatiotemporal-analysis-clinical-0
https://grantome.com/grant/NIH/U01-EB023820-01
https://mne-cpp.github.io/overview.html
Terrific, thanks again William.