Feature alignment and enhancement network with guided tuning for non-stationary EEG classification
The proposed framework effectively mitigates cross-domain variations, providing a reliable solution for cross-session and cross-subject MI-EEG classification.
Authors
- Jiacan Xu (ORCID: https://orcid.org/0000-0001-7401-274X)
- Donglin Li (ORCID: https://orcid.org/0000-0001-7660-831X)
- Jingyu Wang
- Yuxian Zhang
Institutions
- Shenyang University of Technology (CN)
- Hyundai Heavy Industries (South Korea) (KR)
- Shenyang Jianzhu University (CN)
Publication Details
- Journal
- Journal of Neural Engineering
- Published
- 2026-03-31
- DOI
- https://doi.org/10.1088/1741-2552/ae512e
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Department of Science and Technology of Liaoning Province