eeg-auto-tools 0.0.17

The set of tools for working with EEG data

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