Personalization of closed-chain shoulder models yields high kinematic accuracy for multiple motions
Our personalized, closed-chain shoulder modeling framework significantly improves the accuracy and anatomical fidelity of shoulder kinematic simulations compared to existing approaches. This framework minimizes errors in joint kinematics and provides a foundation for future models incorporating personalized musculature and advanced simulations.
Authors
- Benjamin J. Fregly (ORCID: https://orcid.org/0000-0003-1166-4358)
- Heath B. Henninger (ORCID: https://orcid.org/0000-0002-3635-1289)
- Claire V. Hammond (ORCID: https://orcid.org/0009-0004-4638-6022)
- Jonathan A. Gustafson (ORCID: https://orcid.org/0000-0002-9786-6219)
Institutions
- Rush University Medical Center (US)
- University of Utah (US)
- Rice University (US)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2025-08-11
- DOI
- https://doi.org/10.3389/fbioe.2025.1547373
- Citations
- 1
- Primary Topic
- Shoulder Injury and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.01
Funders
- Orthopaedic Research Society
- National Institute for Health and Care Research
- National Institutes of Health