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
.setEEG 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:
-
Generate simulated data:
python scripts/generate_test_data.py --output data/simulated_eeg.set
-
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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