Automated muscle path calibration with gradient-specified optimization based on moment arm
As long as the muscle is represented as a cable wrapping around obstacles, our method overcomes difficulties in path calibration, both for developing generic models and for customizing subject-specific models. This allows efficient enhancement of simulation accuracy for applications such as rehabilitation planning, surgical outcome prediction, and athletic performance analysis.
Authors
- Sami Haddadin (ORCID: https://orcid.org/0000-0001-7696-4955)
- Ziyu Chen (ORCID: https://orcid.org/0000-0002-7797-1070)
- Tingli Hu
- David W. Franklin (ORCID: https://orcid.org/0000-0001-9530-0820)
Institutions
- Technical University of Munich (DE)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2025-10-13
- DOI
- https://doi.org/10.1109/tbme.2025.3620626
- Primary Topic
- Muscle activation and electromyography studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00