How to implement MNE-Realtime with MNEQt-Browser or mne.io.plot() ?

[vsltech]

import os.path as op
import subprocess
import mne
from mne.viz import plot_events
from mne.utils import running_subprocess
from mne_realtime import FieldTripClient, RtEpochs

info = mne.io.read_info('<myEEGFileInEDFFormat')
event_id, tmin, tmax = 1, -0.2, 0.5

with FieldTripClient(host='localhost', port=1972,tmax=40, wait_max=5, info=info) as rt_client:
    rt_epochs = RtEpochs(rt_client, event_id, tmin, tmax, proj=None)
    rt_epochs.start()
    for ev in rt_epochs.iter_evoked():
        epoch_data = ev.data
        #mne.io.raw.plot(show=True,block=True,show_options=False,theme='dark',title=None,proj=False)
        print(epoch_data)

    rt_epochs.stop()

I don't want to plot using matplotlib, any snippet on plot using PyQtGraph(MNEQtBrowser) ?

[jasmainak]

I think this could be a fun project ;-) @larsoner do you think it's possible by refactoring the existing browser? I wanted to potentially use it also for the OPM-MEG system at Martinos

[larsoner]

Looks like there is already a reply over at mne-tools/mne-qt-browser#117

[vsltech]

Really appreciate the prompt response!
Above mentioned issue: mne-tools/mne-qt-browser#117

Loads data from mne.raw.io & plot()
I am looking forward to implement using mne-realtime using FieldTripClient, if any code snippet or way to plot the buffer data received over RtClient

Please advise further @larsoner

[larsoner]

I can't think of a clean way to do it. A quick way I would try would be to create a mne.io.RawArray, call .plot with precompute=False, overview_mode='hidden', modify the raw._data as each new buffer comes in, and somehow force the MNEQtBrowser to redraw (even though the time interval has changed). There is probably some private function you can call in MNEBrowseFigure (what gets returned by raw.plot) that will do this last part for you...