Validation of subject-specific musculoskeletal models using the anatomical reachable 3-D workspace.

Musculoskeletal modelling Reachable 3-D workspace Strength measurements Subject-specific model validation Upper extremity biomechanics

Journal

Journal of biomechanics
ISSN: 1873-2380
Titre abrégé: J Biomech
Pays: United States
ID NLM: 0157375

Informations de publication

Date de publication:
11 Jun 2019
Historique:
received: 21 11 2018
revised: 25 04 2019
accepted: 26 04 2019
pubmed: 23 5 2019
medline: 11 7 2020
entrez: 23 5 2019
Statut: ppublish

Résumé

A novel metric for the validation of musculoskeletal models is proposed, the reachable 3-D workspace (RWS). This new metric was used to compare a generic model scaled in a standard manner to a more subject-specific model. An experimental protocol for assessing the RWS was performed by ten participants for four distinct hand-payload cases. In addition, isometric individual strength measurements were collected for 12 different directions. The strength of subject-specific musculoskeletal models was then computed using the following assumptions: (1) standard routines including the length-mass-fat (LMF) scaling law; (2) the isometric strengths of the muscle elements were optimized to the individual strength measurements using joint strength factors (JSF). The RWS of each participant was subsequently estimated from each of the scaling approaches, LMF and JSF, for the four load cases. The experimental RWS showed that the volume and shape decreased with increasing hand-payload for every participant. The lateral and frontal far-from-torso aspects of the RWS were reduced the most. These trends were reproduced by both strength scaling approaches, but the LMF-scaled models were not able to track the overall RWS volume decrease with increasing payload, since they proved to be weaker than the participants. On the other hand, the optimised JSF subject-specific models performed better on the prediction of the RWS for all payload cases across participants. The RWS can potentially be further used as a subject-specific musculoskeletal model validation, enabling quantification of the volume and shape differences between experimentally and model-predicted RWSs.

Identifiants

pubmed: 31113575
pii: S0021-9290(19)30313-6
doi: 10.1016/j.jbiomech.2019.04.037
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

92-102

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Miguel Nobre Castro (MN)

Department of Materials and Production, Aalborg University, DK-9220 Aalborg East, Denmark. Electronic address: mnc@mp.aau.dk.

John Rasmussen (J)

Department of Materials and Production, Aalborg University, DK-9220 Aalborg East, Denmark. Electronic address: jr@mp.aau.dk.

Shaoping Bai (S)

Department of Materials and Production, Aalborg University, DK-9220 Aalborg East, Denmark. Electronic address: shb@mp.aau.dk.

Michael Skipper Andersen (MS)

Department of Materials and Production, Aalborg University, DK-9220 Aalborg East, Denmark. Electronic address: msa@mp.aau.dk.

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Classifications MeSH