eeg-auto-tools 0.0.14

The set of tools for working with EEG data

EEG Auto Tools

This package aims to simplify common EEG data processing steps — from raw signal loading and cleaning to creating epoched data ready for further analysis.

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

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

License

This project is licensed under the Apache License 2.0