An automatic and simplified approach to muscle path modelling - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue Journal of Biomechanical Engineering Année : 2022

An automatic and simplified approach to muscle path modelling

Résumé

The current paper aims at proposing an automatic method to design and adjust simplified muscle paths of a musculoskeletal model. These muscle paths are composed of straight-lines described by a limited set of fixed active via points and an optimization routine is developed to place these via points on the model in order to fit moment arms and musculotendon lengths input data. The method has been applied to a forearm musculoskeletal model extracted from the literature, using theoretical input data as an example. Results showed that for 75% of the muscle set, the relative root mean square error between literature theoretical data and the results from optimized muscle path was under 29.23% for moment arms and of 1.09% for musculotendon lengths. These results confirm the ability of the method to automatically generate computationally efficient muscle paths for musculoskeletal simulations. Using only via points lowers computational expense compared to paths exhibiting wrapping objects. A proper balance between computational time and anatomical realism should be found to help those models being interpreted by practitioners.
Fichier principal
Vignette du fichier
An_automatic_and_simplified_approach_to_muscle_path_modelling_neutral.pdf (1.35 Mo) Télécharger le fichier
An_automatic_and_simplified_approach_to_muscle_path_modelling_suppmaterials_neutral.pdf (3.29 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03279707 , version 1 (08-07-2021)

Identifiants

Citer

Claire Livet, Théo Rouvier, Georges Dumont, Charles Pontonnier. An automatic and simplified approach to muscle path modelling. Journal of Biomechanical Engineering, 2022, 144 (1), pp.1-9. ⟨10.1115/1.4051870⟩. ⟨hal-03279707⟩
84 Consultations
374 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More