Real-time biofeedback monitoring rehabilitation of distal radius fracture
Individual variations in movement execution and muscle activation underscore the influence of personal movement patterns on rehabilitation outcomes. The simulation results highlight the importance of tailoring rehabilitation protocols to specific healing stages, as optimal exercise plans may vary across different phases of recovery. Furthermore, the strong concordance between simulation outcomes and machine learning predictions validates the prototype's potential to deliver real-time estimations of healing progress.
Authors
- Lunjian Li (ORCID: https://orcid.org/0000-0001-8273-3213)
- Xuanchi Liu (ORCID: https://orcid.org/0000-0001-9364-8735)
- Lihai Zhang (ORCID: https://orcid.org/0000-0002-1282-992X)
Institutions
- The University of Melbourne (AU)
Publication Details
- Journal
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1186/s12984-025-01746-1
- Citations
- 3
- Primary Topic
- Orthopedic Surgery and Rehabilitation
- Type
- article
- Field-Weighted Citation Impact
- 6.02