Rule based strength scaling is an easy, cheap and relatively accurate technique to personalize musculoskeletal (MS) models. This paper presents a new strength scaling approach for MS models and validates it by maximal voluntary contractions (MVC). A heterogeneous group of 63 healthy subjects performed maximal isometric knee extensions. A multiple linear regression analysis (MLR) resulted in an empirical strength scaling equation, accounting for age, mass, height, gender, segment masses and segment lengths. For validation purpose, 20 newly included healthy subjects performed a maximal isometric leg-press. The newly developed strength scaling technique resulted on average in better estimations of maximal strength compared to current scaling methods. Also individual predictions showed better predictions of maximal strength compared to current strength scaling routines. Improvements in personalised modelling might require imaging to obtain more specific individual muscle characteristics, e.g. physiological cross sectional areas, optimal fibre length and pennation angles.
|Tidsskrift||International Journal of Human Factors Modelling and Simulation|
|Status||Udgivet - 2015|
Oomen, P., Annegarn, J., Rasmussen, J., Rausch, J., Siebertz, K., Verdijk, L., Drost, M., & Meijer, K. (2015). Development and Validation of a Rule-Based Strength Scaling Method for Musculoskeletal Modelling. International Journal of Human Factors Modelling and Simulation, 5(1), 19-32. https://doi.org/10.1504/IJHFMS.2015.068121