eeg-auto-tools 0.0.10

The set of tools for working with EEG data

Example Code

file = "your_file_path" raw = mne.io.read_raw(file, preload=True)

pipeline = Sequence( ch_selector = ChannelSelector(exclude=['ECG', 'EOG']), ffilter = FilterBandpass(l_freq=0.1, h_freq=40, notch_freq=50), montager = SetMontage('waveguard64'), detector = BadChannelsDetector(method="auto"), rerefer = Rereference(exclude='bads'), ica = AutoICA(), interp = Interpolate(), r2e = Raw2Epoch(tmin=-0.15, tmax=0.6), bed = BadEpochsDetector(apply=True), baseliner = BaselineEpochs(baseline=(-0.1, 0)), detrender = DetrendEpochs(detrend_type="linear"), )

epochs = pipeline(raw, cash=False)

Other Info

This is an eeg-processing package. You can visit GitHub-flavored Markdown to read other content.

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.