A Cross-Attention-Based Class Alignment Network for Cross-Subject EEG Classification in a Heterogeneous Space
This paper presents an efficient model for cross-subject EEG classification under heterogeneous spaces, which significantly addresses the challenges of EEG classification within heterogeneous spaces, thereby opening up new perspectives and avenues for research in related fields.
Authors
- Dongxiao Zhang (ORCID: https://orcid.org/0009-0002-9369-7988)
- Sufan Ma (ORCID: https://orcid.org/0009-0005-2749-4965)
Institutions
- Jimei University (CN)
Publication Details
- Journal
- Sensors
- Published
- 2024-11-03
- DOI
- https://doi.org/10.3390/s24217080
- Citations
- 4
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.37
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Fujian Province
- Jimei University