A feature fusion network with spatial-temporal-enhanced strategy for the motor imagery of force intensity variation
These findings highlight the potential of this paradigm and algorithm for advancing MI-BCI systems in rehabilitation training based on dynamic force interactions.
Authors
- Pengxuan Si
- Jing Lv (ORCID: https://orcid.org/0000-0002-9291-6643)
- Jie Huang (ORCID: https://orcid.org/0000-0002-0348-6590)
- Junfeng Xu (ORCID: https://orcid.org/0000-0002-9453-3347)
- Ankai Ying
- Tian Wang (ORCID: https://orcid.org/0000-0001-8427-4495)
- Jiyu Zhang (ORCID: https://orcid.org/0009-0003-6139-0292)
- Guokun Zuo (ORCID: https://orcid.org/0000-0003-2499-7397)
Institutions
- Chinese Academy of Sciences (CN)
- Wenzhou Medical University (CN)
- University of Chinese Academy of Sciences (CN)
- Ningbo Institute of Industrial Technology (CN)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2025-06-20
- DOI
- https://doi.org/10.3389/fnins.2025.1591398
- Citations
- 1
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.43