title: Robustness of kinematic weighting and scaling concepts for musculoskeletal simulation.
abstract: Musculoskeletal modelling is widely used to estimate internal loading conditions. In order to optimise robustness and reduce errors between the subject-specific reference motion data (RMD) and the musculoskeletal simulation, 90 permutations of kinetic and kinematic data were analysed during split squats. A ranking for the scaling and kinematic weighting concepts based on the RMS errors when including functional centres of rotation (fCoRs), joint angles, and skin markers, revealed that analyses should include fCoR in the scaling and the simulation processes, as well as an automated weighting procedure including all attached skin markers for optimal registration of the musculoskeletal model to the RMD.
authors.affiliation: a Institute for Biomechanics , ETH Zurich , Zürich , Switzerland.
authors.forename: Florian
authors.initials: F
authors.lastname: Schellenberg
authors.affiliation: a Institute for Biomechanics , ETH Zurich , Zürich , Switzerland.
authors.forename: William R
authors.initials: WR
authors.lastname: Taylor
authors.affiliation: b Department of Kinesiology , Katholieke Universiteit Leuven , Leuven , Belgium.
authors.forename: Ilse
authors.initials: I
authors.lastname: Jonkers
authors.affiliation: a Institute for Biomechanics , ETH Zurich , Zürich , Switzerland.
authors.forename: Silvio
authors.initials: S
authors.lastname: Lorenzetti
mesh_terms: D001696:Biomechanical Phenomena; D001835:Body Weight; D003198:Computer Simulation; D006801:Humans; D007596:Joints / Q000502:physiology; D008954:Models, Biological; D009142:Musculoskeletal Physiological Phenomena; D016059:Range of Motion, Articular / Q000502:physiology
keywords: Subject specific musculoskeletal modelling; error estimation; robustness; split squats; strength training