High-Performance Cross-Subject Decoding of Multiclass Rhythmic Motor Imagery Using EEG Data from 100 Subjects
Overall, our study provides novel insights into cross-subject EEG decoding from the perspectives of model design, data scale and quality. The code is available in https://github.com/SJTUwyxuan/RhythmicMI-CrossSubject.
Authors
- Ximing Mai (ORCID: https://orcid.org/0000-0003-0740-000X)
- Yuxuan Wei (ORCID: https://orcid.org/0009-0002-9466-3077)
- Jianjun Meng (ORCID: https://orcid.org/0000-0003-0813-652X)
- Ruijie Luo
- Ruijia Cheng
- Yang Li
Institutions
- Shanghai Jiao Tong University (CN)
Publication Details
- Journal
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1109/tnsre.2026.3676837
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00