Question

✉️ Mailing List Archive (read-only)
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Hello MNE!

I am working on EEG based Brain Computer Interface and using MNE as
analysis tool. The EEG recording device which I am using saves the
recordings in eeg format. I convert it to edf format before loading to
python as MNE doesn't support eeg format. I want to make a real time
BCI using python language. Is there any way such that I can acquire
raw EEG signal in python and real time BCI developed using MNE? Please
help me regarding this as I feel completely lost.

Regards
Manoj Kovvuru
M.Tech in Robotics
IIEST Shibpur

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Hello!

MNE does support .eeg files created with a BrainProducts amplifier (mne.io.read_raw_brainvision). However, if you have a different amplifier, converting to .edf seems like a good idea.

Regarding developing a real-time BCI, MNE only supports offline analysis. You might want to check out https://github.com/sccn/labstreaminglayer, which you can use to stream data across a network (there are Python bindings available). You could then build a signal processing pipeline using custom Python code (you could of course use scikit-learn for machine learning and scipy for signal processing, I think they support online applications).

Clemens

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MNE does support real-time analysis, although it is not so well advertised
and tested for EEG systems.

You can check out a few examples here
<https://martinos.org/mne/dev/auto_examples/index.html#real-time-m-eeg-acquisition>.
It's essentially a wrapper around the FieldTrip buffer
<http://www.fieldtriptoolbox.org/getting_started/realtime/>.

Best,
Mainak

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Interesting, I didn't know about that :-).

Clemens

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Hi Manoj,

If I understand correctly what you are trying to do, you should check out
mne-cpp:

https://www.mne-cpp.org/

Here's an example SSVEP BCI application:

http://wiki.mne-cpp.org/index.php/Setup_SSVEP_BCI_example

what kind of hardware are you working with?

Cheers,

-Morgan

PS I am seeing now that the MNE examples using the fieldtrip buffer are
somehow connected/overlapping projects. I'd love to learn more about both.
I hope the mne-cpp links help though.