Load the movement imagery dataset into MNE

mne_test.py

import mne
from mne.io import RawArray
from mne.channels import make_dig_montage

events = np.vstack((dat0_mov['t_on'].astype(int), np.zeros(dat0_mov['t_on'].size).astype(int)))
events = np.vstack((events, dat0_mov['stim_id'].astype(int))).T

elec_indexes_str = [str(ch) for ch in elec_indexes]
locs_dict = dict(zip(elec_indexes_str, dat0_mov['mni_locs'] / 1000))
montage = make_dig_montage(locs_dict, coord_frame='mni_tal')
info = mne.create_info(elec_indexes_str, 1000, 'ecog')
info.set_montage(montage)
raw = RawArray(dat1['V'].T, info)

epoch_length = 2  # seconds
epochs_hand = mne.Epochs(raw, events, event_id=12,
                    tmin=0, tmax=2, baseline=None)