[Mne_analysis] Question

Thu Dec 6 01:58:58 EST 2018

        External Email - Use Caution        

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

Clemens

> On 06.12.2018, at 00:09, Mainak Jas <mainakjas at gmail.com> wrote:
> 
>         External Email - Use Caution        
> 
> 
> 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. It's essentially a wrapper around the FieldTrip buffer.
> 
> Best,
> Mainak
> 
> On Wed, Dec 5, 2018 at 11:25 AM Brunner, Clemens (clemens.brunner at uni-graz.at) <clemens.brunner at uni-graz.at> wrote:
>         External Email - Use Caution        
> 
> 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
> 
> 
> 
> > On 05.12.2018, at 17:01, Manoj Kovvuru <manoj.kovvuru at gmail.com> wrote:
> > 
> >        External Email - Use Caution        
> > 
> > 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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