<scp>LRR</scp> ‐ <scp>UNet</scp> : A Deep Unfolding Network With Low‐Rank Recovery for <scp>EEG</scp> Signal Denoising
The proposed LRR-Unet provides an effective and interpretable solution for EEG denoising. Its superiority in denoising performance and practical utility in enhancing downstream application performance is validated through comprehensive experiments.
Authors
- Yunliang Zang (ORCID: https://orcid.org/0000-0001-8999-1936)
- Liangfu Lu (ORCID: https://orcid.org/0000-0001-8731-9775)
- Haipeng Liu (ORCID: https://orcid.org/0000-0002-4212-2503)
- Xiaoxiong Yue
Institutions
- Xiamen Municipal Bureau of Science and Technology (CN)
- Intelligent Health (United Kingdom) (GB)
- Tianjin Medical University (CN)
- Coventry University (GB)
- Xiamen University of Technology (CN)
Publication Details
- Journal
- CNS Neuroscience & Therapeutics
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1111/cns.70632
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00