EEG Auto Tools
With this package it is possible to automate routine EEG processing, ERP acquisition steps and other signal features, as well as to obtain a detailed performance report after each successive block of the pipeline has been worked out
Installation
You can install eeg-auto-tools directly from PyPI:
pip install eeg-auto-tools
Quick Start
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
You can visit my GitHub to read other content.
License
This project is licensed under the Apache License 2.0
1 maintainer
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