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.
As well as the specific version numbers of the software using the DOI provided by Zenodo.
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,.
1 maintainer
Release files for gedai 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gedai-0.2.0.tar.gz | 8.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gedai-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.9 MB
Release files / gedai-0.2.0.tar.gz
| Download URL | gedai-0.2.0.tar.gz |
|---|---|
| Size | 8.9 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / gedai-0.2.0-py3-none-any.whl
| Download URL | gedai-0.2.0-py3-none-any.whl |
|---|---|
| Size | 7.9 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
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