GEDAI

GEDAI denoising in python

For more details about the GEDAI algorithm, please refer to the MATLAB implementation.

Documentation

Detailed documentation can be found on GEDAI website.

📜 Citation

If you use GEDAI in your research, please cite the original publication:

Return of the GEDAI: Unsupervised EEG Denoising based on Leadfield Filtering (2025) [bioRxiv]. [DOI/Link to paper] Ros, T, Férat, V., Huang, Y., Colangelo, C., Kia S.M., Wolfers T., Vulliemoz, S., & Michela, A.

License

You may use this software under the terms of the PolyForm Noncommercial License 1.0.0 LICENSE. This is suitable for personal use, research, or evaluation.

Commercial License If you wish to use this software in a commercial or proprietary application without being bound by terms of the PolyForm Noncommercial License 1.0.0, you must purchase a commercial license. The core algorithms in this repository are the subject of a pending patent application, and a commercial license includes a grant for patent rights.

📧 Contact

For any questions or enquiries, please contact: Tomas Ros - tomas.ros@unige.ch Victor Férat: victor.ferat@fcbg.ch

Acknowledgements

We are gratefully supported by the Center for Biomedical Imaging (CIBM), the Swiss National Science Foundation (SNSF), Unitec and the M/EEG & NMOD Platform, Fondation Campus Biotech Geneva, Geneva,.