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A lightweight tool for viewing EEGLAB .set files using MNE-QT Browser

Project description

AutoClean-View

AutoClean-View is a lightweight Python package for visualizing EEGLAB .set files using the modern MNE-QT Browser.

Features

  • Load .set EEG files
  • View using MNE's interactive Qt-based signal browser
  • Easy CLI interface: autoclean-view yourfile.set --view
  • Built on MNE-Python and mne-qt-browser

Installation

pip install autoclean-view

Usage

autoclean-view path/to/yourfile.set --view

Test with Simulated Data

The package includes scripts to generate and test with simulated EEG data:

  1. Generate simulated data:

    python scripts/generate_test_data.py --output data/simulated_eeg.set
    
  2. Or run the all-in-one test script:

    ./scripts/test_with_simulated_data.sh
    

Simulation Options

python scripts/generate_test_data.py --help

Options include:

  • --duration: Length of simulated recording (seconds)
  • --sfreq: Sampling frequency (Hz)
  • --channels: Number of EEG channels
  • --no-events: Disable simulated events
  • --no-artifacts: Disable simulated artifacts

Requirements

  • Python 3.9+
  • macOS or Linux
  • PyQt5 or compatible Qt backend

License

MIT License

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