Uncovering the structure of clinical EEG signals with self-supervised learning

Self-supervised learning with EEG can parse sleep stages and other clinical details

Summary

This Twitter thread summarizes the work and walks you through the main findings.

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Demonstration

You can find example PyTorch code at the Braindecode website.

Citation

@article{banville2021uncovering,
  title={Uncovering the structure of clinical EEG signals with self-supervised learning},
  author={Banville, Hubert and Chehab, Omar and Hyv{\"a}rinen, Aapo and Engemann, Denis-Alexander and Gramfort, Alexandre},
  journal={Journal of Neural Engineering},
  volume={18},
  number={4},
  pages={046020},
  year={2021},
  publisher={IOP Publishing}
}