Sensing equivalent kinematics enables robot-assisted mirror rehabilitation training via a broaden learning system
The framework has the potential to improve outcomes in smoother and safer mirror-symmetry training by sensing multi-kinematic features. Future studies are necessary to involve clinical trials with actual patients.
Authors
- Xueming Fu (ORCID: https://orcid.org/0000-0002-7886-340X)
- Qing Miao (ORCID: https://orcid.org/0000-0002-5975-3010)
- Yi-Feng Chen (ORCID: https://orcid.org/0000-0002-2709-6036)
Institutions
- University of Science and Technology of China (CN)
- Wuhan Polytechnic University (CN)
- Southern University of Science and Technology (CN)
- Suzhou University of Science and Technology (CN)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2024-11-15
- DOI
- https://doi.org/10.3389/fbioe.2024.1484265
- Citations
- 2
- Primary Topic
- Stroke Rehabilitation and Recovery
- Type
- article
- Field-Weighted Citation Impact
- 0.50
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hubei Province
- Basic and Applied Basic Research Foundation of Guangdong Province