Accuracy and kinematics consistency of marker-based scaling approaches on a lower limb model: A comparative study with imagery data

Type de document

Études primaires

Année de publication

2020

Langue

Anglais

Titre de la revue

Computer Methods in Biomechanics and Biomedical Engineering

Première page

114

Dernière page

125

Résumé

Medical images are not typically included in protocol of motion laboratories. Thus, accurate scaling of musculoskeletal models from optoelectronic data are important for any biomechanical analysis. The aim of the current study was to identify a scaling method based on optoelectronic data, inspired from literature, which could offer the best trade-off between accurate geometrical parameters (segment lengths, orientation of joint axes, marker coordinates) and consistent inverse kinematics outputs (kinematic error, joint angles). The methods were applied on 26 subjects and assessed with medical imagery building EOS-based models, considered as a reference. The main contribution of this paper is to show that the marker-based scaling followed by an optimisation of orientation joint axes and markers local coordinates, gives the most consistent scaling and joint angles with EOS-based models. Thus, when a non-invasive mean with an optoelectronic system is considered, a marker-based scaling is preliminary needed to get accurate segment lengths and to optimise joint axes and marker local coordinates to reduce kinematic errors. AbbrevationsAJC Ankle joint centreCKE cumulative kinematic errorDoF degree of freedomEB EOS-basedHB height-basedHJC hip joint centreKJC knee joint centreMB marker-basedMSM musculoskeletal modelsSPM statistical parametric mappingSTA soft tissue artifactEBa.m∗ EOS-based with optimised joint axes, and all model markers coordinatesMBa.m∗ marker-based with optimised joint axes, and all model markers coordinatesMBl.a.m marker-based with optimised segment lengths, joint axes, and selected model markers coordinatesASIS anterior superior illiac spinePSIS posterior superior illiac spine. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.

Mots-clés

Mécanique humaine, Body mechanics, Extrémités inférieures, Affection des membres inférieurs, Lower extremity disorder, Troubles musculosquelettiques, Musculoskeletal disease, Modèle, Model

Numéro de projet IRSST

n/a

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