Scapular kinematic reconstruction - segmental optimization, multibody optimization with open-loop or closed-loop chains: which one should be preferred? - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue International Biomechanics Année : 2017

Scapular kinematic reconstruction - segmental optimization, multibody optimization with open-loop or closed-loop chains: which one should be preferred?

Résumé

Several numerical approaches have been developed to address the soft tissue artefact, such as the segmental optimization and multibody kinematics optimizations using either open-loop or closed-loop chains. However, it is still not clear which method is the most efficient for scapular kinematics reconstruction. In this study, six kinematic models were compared to a silver standard, i.e. a scapula palpator, during a series of 55 postures with maximal amplitudes of both the arm and scapula performed by 15 subjects. The most accurate approaches were the multibody optimization with a closed-loop chain and the segmental optimization. They provided averaged scapula misorientations of 14.9 ± 6.7° and 16 ± 7.1, respectively. Regarding the closed-loop chain integrating a point-to-ellipsoid scapulothoracic joint, the ellipsoid providing the most accurate results was a thorax-size ellipsoid fitting the area browsed by the scapula. Eventually, considering the high implementation costs of a multibody kinematics optimization, the segmental optimization could be considered as appropriate for scapular kinematics reconstruction.
Fichier principal
Vignette du fichier
ris00000605.pdf (1.36 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01738637 , version 1 (20-03-2018)

Identifiants

Citer

Benjamin Michaud, Sonia Duprey, Mickael Begon. Scapular kinematic reconstruction - segmental optimization, multibody optimization with open-loop or closed-loop chains: which one should be preferred?. International Biomechanics, 2017, 4 (2), pp. 86-94. ⟨10.1080/23335432.2017.1405741⟩. ⟨hal-01738637⟩
46 Consultations
71 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More