Literature DB >> 1733989

Geometry parameters for musculoskeletal modelling of the shoulder system.

F C Van der Helm1, H E Veeger, G M Pronk, L H Van der Woude, R H Rozendal.   

Abstract

A dynamical finite-element model of the shoulder mechanism consisting of thorax, clavicula, scapula and humerus is outlined. The parameters needed for the model are obtained in a cadaver experiment consisting of both shoulders of seven cadavers. In this paper, in particular, the derivation of geometry parameters from the measurement data is described. The results for one cadaver are presented as a typical example. Morphological structures are modelled as geometrical forms. Parameters describing this form are estimated from 3-D position coordinates of a large number of datapoints on the morphological structure, using a least-squares criterion. Muscle and ligament attachments are represented as a plane or as a (curved) line. Muscle paths are determined by a geometrical form of the bony contour around which the muscle is wrapped. Muscle architecture is determined by the distribution of muscle bundles over the attachment area, mapping the distribution of the origin to the insertion. Joint rotation centers are derived from articular surfaces. Hence, muscle moment arms can be calculated. The result of this study is a set of parameters for each cadaver, describing very precisely the geometry of the shoulder mechanism. This set allows positioning of muscle force vectors a posteriori, and recalculation of position coordinates and moment arms for any position of the shoulder.

Mesh:

Year:  1992        PMID: 1733989     DOI: 10.1016/0021-9290(92)90270-b

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  20 in total

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4.  Arm load magnitude affects selective shoulder muscle activation.

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Review 5.  Clinical applications of musculoskeletal modelling for the shoulder and upper limb.

Authors:  Bart Bolsterlee; Dirkjan H E J Veeger; Edward K Chadwick
Journal:  Med Biol Eng Comput       Date:  2013-07-20       Impact factor: 2.602

6.  Monte Carlo simulation of a planar shoulder model.

Authors:  R E Hughes; K N An
Journal:  Med Biol Eng Comput       Date:  1997-09       Impact factor: 2.602

7.  Postural dependence of muscle actions: implications for neural control.

Authors:  C A Buneo; J F Soechting; M Flanders
Journal:  J Neurosci       Date:  1997-03-15       Impact factor: 6.167

8.  A method to determine whether a musculoskeletal model can resist arbitrary external loadings within a prescribed range.

Authors:  Alan Chu; Richard E Hughes
Journal:  Comput Methods Biomech Biomed Engin       Date:  2010-12       Impact factor: 1.763

9.  Development and validation of a muscle wrapping model applied to intact and reverse total shoulder arthroplasty shoulders.

Authors:  Josie A Elwell; George S Athwal; Ryan Willing
Journal:  J Orthop Res       Date:  2018-09-19       Impact factor: 3.494

10.  Estimation of attachment regions of hip muscles in CT image using muscle attachment probabilistic atlas constructed from measurements in eight cadavers.

Authors:  Norio Fukuda; Yoshito Otake; Masaki Takao; Futoshi Yokota; Takeshi Ogawa; Keisuke Uemura; Ryota Nakaya; Kazunori Tamura; Robert B Grupp; Amirhossein Farvardin; Mehran Armand; Nobuhiko Sugano; Yoshinobu Sato
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-02-10       Impact factor: 2.924

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