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Use built-in MNE export for BrainVision #417

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Use built-in MNE export for BrainVision #417

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b128369
Use built-in MNE export
cbrnr Apr 9, 2024
19c3a9e
Remove unused imports
cbrnr Jul 9, 2024
fb881c3
Remove events argument
cbrnr Jul 9, 2024
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30 changes: 2 additions & 28 deletions src/mnelab/io/writers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,8 +4,6 @@

from pathlib import Path

import mne
import numpy as np
from numpy.core.records import fromarrays
from scipy.io import savemat

Expand Down Expand Up @@ -59,33 +57,9 @@ def write_edf(fname, raw):
raw.export(fname)


def write_bv(fname, raw, events=None):
def write_bv(fname, raw):
"""Export data to BrainVision EEG/VHDR/VMRK file (requires pybv)."""
import pybv

name, _ = Path(fname).stem, "".join(Path(fname).suffixes)
parent = Path(fname).parent
data = raw.get_data()
fs = raw.info["sfreq"]
ch_names = raw.info["ch_names"]
if events is None:
if raw.annotations:
events = mne.events_from_annotations(raw, regexp=None)[0]
dur = raw.annotations.duration * fs
events = np.column_stack([events[:, [0, 2]], dur.astype(int)])
else:
events = events[:, [0, 2]]
units = [ch["unit"] for ch in raw.info["chs"]]
units = ["µV" if unit == 107 else "AU" for unit in units]
pybv.write_brainvision(
data=data,
sfreq=fs,
ch_names=ch_names,
fname_base=name,
folder_out=parent,
events=events,
unit=units,
)
raw.export(fname=Path(fname).with_suffix(".vhdr"))


# this dict contains each supported file extension as a key; the corresponding value is a
Expand Down