Literature DB >> 31881812

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

P Puchaud1,2,3, C Sauret4, A Muller1,5, N Bideau2, G Dumont1, H Pillet4, C Pontonnier1,3.   

Abstract

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.AbbrevationsAJCAnkle joint centreCKEcumulative kinematic errorDoFdegree of freedomEBEOS-basedHBheight-basedHJChip joint centreKJCknee joint centreMBmarker-basedMSMmusculoskeletal modelsSPMstatistical parametric mappingSTAsoft 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.mmarker-based with optimised segment lengths, joint axes, and selected model markers coordinatesASISanterior superior illiac spinePSISposterior superior illiac spine.

Entities:  

Keywords:  EOS; Scaling; motion capture; non-invasive; numerical kinematics; optimisation

Mesh:

Year:  2019        PMID: 31881812     DOI: 10.1080/10255842.2019.1705798

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  2 in total

1.  Back loading estimation during team handling: Is the use of only motion data sufficient?

Authors:  Antoine Muller; Philippe Corbeil
Journal:  PLoS One       Date:  2020-12-22       Impact factor: 3.240

2.  Inertial Motion Capture-Based Estimation of L5/S1 Moments during Manual Materials Handling.

Authors:  Antoine Muller; Hakim Mecheri; Philippe Corbeil; André Plamondon; Xavier Robert-Lachaine
Journal:  Sensors (Basel)       Date:  2022-08-26       Impact factor: 3.847

  2 in total

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