ALICE - Automated Labeling of Independent Components for EEG
Project description
ALICE - Automated Labeling of Independent Components for EEG
The project aims to develop a sustainable algorithm for EEG IC artifact removal and collect a publically available dataset.
Read about out project in the recent publication
alice-ml library contains pretrained ML models to label IC. It's compatible with MNE library.
Requirements
- Python >= 3.7
Installation
Currently only pip installation is supported
pip install alice-ml
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