Literature DB >> 11264863

Musculoskeletal model of the upper limb based on the visible human male dataset.

B A Garner1, M G Pandy.   

Abstract

A mathematical model of the human upper limb was developed based on high-resolution medical images of the muscles and bones obtained from the Visible Human Male (VHM) project. Three-dimensional surfaces of the muscles and bones were reconstructed from Computed Tomography (CT) images and Color Cryosection images obtained from the VHM cadaver. Thirteen degrees of freedom were used to describe the orientations of seven bones in the model: clavicle, scapula, humerus, radius, ulna, carpal bones, and hand. All of the major articulations from the shoulder girdle down to the wrist were included in the model. The model was actuated by 42 muscle bundles, which represented the actions of 26 muscle groups in the upper limb. The paths of the muscles were modeled using a new approach called the Obstacle-set Method [33]. The calculated paths of the muscles were verified by comparing the muscle moment arms computed in the model with the results of anatomical studies reported in the literature. In-vivo measurements of maximum isometric muscle torques developed at the shoulder, elbow, and wrist were also used to estimate the architectural properties of each musculotendon actuator in the model. The entire musculoskeletal model can be reconstructed using the data given in this paper, along with information presented in a companion paper which defines the kinematic structure of the model [26].

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Year:  2001        PMID: 11264863     DOI: 10.1080/10255840008908000

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


  29 in total

1.  Comparison of model-predicted and measured moment arms for the rotator cuff muscles.

Authors:  Christopher J Gatti; Clark R Dickerson; Edward K Chadwick; Amy G Mell; Richard E Hughes
Journal:  Clin Biomech (Bristol, Avon)       Date:  2007-03-28       Impact factor: 2.063

2.  Lines of action and stabilizing potential of the shoulder musculature.

Authors:  David C Ackland; Marcus G Pandy
Journal:  J Anat       Date:  2009-05-28       Impact factor: 2.610

3.  Moment arms of the muscles crossing the anatomical shoulder.

Authors:  David C Ackland; Ponnaren Pak; Martin Richardson; Marcus G Pandy
Journal:  J Anat       Date:  2008-08-06       Impact factor: 2.610

Review 4.  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

5.  Regressions for estimating muscle parameters in the thoracic and lumbar trunk for use in musculoskeletal modeling.

Authors:  Dennis E Anderson; John M D'Agostino; Alexander G Bruno; Rajaram K Manoharan; Mary L Bouxsein
Journal:  J Biomech       Date:  2011-10-22       Impact factor: 2.712

6.  Upper limb muscle forces during a simple reach-to-grasp movement: a comparative study.

Authors:  N Louis; P Gorce
Journal:  Med Biol Eng Comput       Date:  2009-09-26       Impact factor: 2.602

7.  Real-time simulation of three-dimensional shoulder girdle and arm dynamics.

Authors:  Edward K Chadwick; Dimitra Blana; Robert F Kirsch; Antonie J van den Bogert
Journal:  IEEE Trans Biomed Eng       Date:  2014-07       Impact factor: 4.538

8.  Development and Validation of a Musculoskeletal Model of the Fully Articulated Thoracolumbar Spine and Rib Cage.

Authors:  Alexander G Bruno; Mary L Bouxsein; Dennis E Anderson
Journal:  J Biomech Eng       Date:  2015-06-09       Impact factor: 2.097

9.  The moment arms of the muscles spanning the glenohumeral joint: a systematic review.

Authors:  Freya Hik; David C Ackland
Journal:  J Anat       Date:  2018-11-08       Impact factor: 2.610

10.  Benchmarking of dynamic simulation predictions in two software platforms using an upper limb musculoskeletal model.

Authors:  Katherine R Saul; Xiao Hu; Craig M Goehler; Meghan E Vidt; Melissa Daly; Anca Velisar; Wendy M Murray
Journal:  Comput Methods Biomech Biomed Engin       Date:  2014-07-04       Impact factor: 1.763

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