def read_xdf(cls, path):
raise NotImplementedError
import openxdf
# TODO: below is a place holder and needs to be finalize
xdf = openxdf.OpenXDF(path)
signals = openxdf.Signal(xdf, path.with_suffix(".nkamp"))
# TODO: automate this, why are the xdf.header names different from signals.list_channels?
for label in ["ECG", "Chin"]:
# logger.info(f'reading {label} channel')
sig = signals.read_file(label)[label]
wav = Wave(sig.ravel(), 200)
wav.label = label
# wav.path = file.with_name(file.stem + '-' + label + '.wav')
wav.min = -3200
wav.max = 3200
wav.unit = "1"
def add_view_from_file(self, file: Path, panel_index: int = None):
# TODO: both edf and xdf should be moved to tracking!!!
if file.suffix == '.edf':
import pyedflib
with pyedflib.EdfReader(str(file)) as f:
labels = f.getSignalLabels()
for label in labels:
index = labels.index(label)
wav = tracking.Wave(f.readSignal(index),
f.getSampleFrequency(index))
wav.label = label
wav.path = file.with_name(file.stem + '-' + label + '.wav')
wav.min = f.getPhysicalMinimum(index)
wav.max = f.getPhysicalMaximum(index)
wav.unit = f.getPhysicalDimension(index)
self.add_view(wav,
panel_index=panel_index,
y_min=wav.min,
y_max=wav.max)
elif file.suffix == '.xdf':
import openxdf
xdf = openxdf.OpenXDF(file)
signals = openxdf.Signal(xdf, file.with_suffix('.nkamp'))
# TODO: automate this, why are the xdf.header names different from signals.list_channels?
for label in ['ECG', 'Chin']:
logger.info(f'reading {label} channel')
sig = signals.read_file(label)[label]
wav = tracking.Wave(sig.ravel(), 200)
wav.label = label
wav.path = file.with_name(file.stem + '-' + label + '.wav')
wav.min = -3200
wav.max = 3200
wav.unit = '1'
self.add_view(wav,
panel_index=panel_index,
y_min=wav.min,
y_max=wav.max)
else:
try:
track_obj = tracking.Track.read(file)
except Exception as e:
logging.exception(e)
else:
self.add_view(track_obj, panel_index=panel_index)
def load_data(xdf_path, signal_path):
xdf = openxdf.OpenXDF(xdf_path)
signal = openxdf.Signal(xdf, signal_path)
return xdf, signal