Modelling the complexity of the foot and ankle during human locomotion: the development and validation of a multi-segment foot model using biplanar videoradiography.

Autor:	Maharaj JN; Griffith Centre of Biomedical and Rehabilitation Engineering, Gold Coast, Australia., Rainbow MJ; Department of Mechanical and Materials Engineering, Queen's University, Kingston, Canada., Cresswell AG; School of Human Movement and Nutrition Sciences, University of Queensland, Brisbane, Australia., Kessler S; Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA., Konow N; Department of Biological Sciences, University of Massachusetts, Lowell, MA, USA., Gehring D; Institute of Sports and Sport Science, University of Freiburg, Freiburg, Germany., Lichtwark GA; School of Human Movement and Nutrition Sciences, University of Queensland, Brisbane, Australia.
Jazyk:	angličtina
Zdroj:	Computer methods in biomechanics and biomedical engineering [Comput Methods Biomech Biomed Engin] 2022 Apr; Vol. 25 (5), pp. 554-565. Date of Electronic Publication: 2021 Oct 26.
DOI:	10.1080/10255842.2021.1968844
Abstrakt:	We developed and validated a multi-segment foot and ankle model for human walking and running. The model has 6-segments, and 7 degrees of freedom; motion between foot segments were constrained with a single oblique axis to enable triplanar motion [Joint Constrained (JC) model]. The accuracy of the JC model and that of a conventional model using a 6 degrees of freedom approach were assessed by comparison to segment motion determined with biplanar videoradiography. Compared to the 6-DoF model, our JC model demonstrated significantly smaller RMS differences [JC: 2.19° (1.43-2.73); 6-DoF: 3.25° (1.37-5.89)] across walking and running. The JC model is thus capable of more accurate musculoskeletal analyses and is also well suited for predictive simulations.
Databáze:	MEDLINE
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