A Muscle Model Incorporating Fiber Architecture Features for the Estimation of Joint Stiffness During Dynamic Movement
| Autor: | Cop, Christopher P., Schouten, A.C., Koopman, Bart F.J.M., Sartori, M., Torricelli, Diego, Akay, Metin, Pons, Jose L. |
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| Přispěvatelé: | TechMed Centre, Biomechanical Engineering |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
musculoskeletal diseases
animal structures Computer science Generalization Movement (music) Computation System identification Stiffness macromolecular substances equipment and supplies musculoskeletal system Control theory Joint stiffness 2023 OA procedure medicine Fiber architecture medicine.symptom Joint (geology) |
| Zdroj: | Converging Clinical and Engineering Research on Neurorehabilitation IV: Proceedings of the 5th International Conference on Neurorehabilitation (ICNR2020), October 13–16, 2020 Converging Clinical and Engineering Research on Neurorehabilitation IV Converging Clinical and Engineering Research on Neurorehabilitation IV: Proceedings of the 5th International Conference on Neurorehabilitation (ICNR2020), October 13–16, 2020, 507-511 STARTPAGE=507;ENDPAGE=511;TITLE=Converging Clinical and Engineering Research on Neurorehabilitation IV Biosystems & Biorobotics ISBN: 9783030703158 |
| ISSN: | 2195-3562 |
| Popis: | Quantifying human joint stiffness in vivo during movement remains challenging. Well established stiffness estimation methods include system identification and the notion of quasi-stiffness, with experimental and conceptual limitations, respectively. Joint stiffness computation via biomechanical models is an emerging solution to overcome such limitations. However, these models make assumptions that hamper their generalization across muscle architectures. Here we present a stiffness formulation that considers the muscle’s pennation angle, and its comparison to a simpler formulation that does not. Model-based stiffness estimates are evaluated against joint-perturbation-based system identification. Results on muscles with different pennation angle show that our formulation seamlessly adjusts the muscle-tendon units’ stiffness depending on their architecture. At the joint level, our new model improved the stiffness estimations. Our study’s relevance is the creation and validation of a modeling formulation that does not require joint perturbation. This will enable better estimations and understanding of stiffness properties and human movement. |
| Databáze: | OpenAIRE |
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