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.

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}
}