Literature DB >> 11264836

The Obstacle-Set Method for Representing Muscle Paths in Musculoskeletal Models.

BRIAN A. Garner1, MARCUS G. Pandy.   

Abstract

A computational method is introduced for modeling the paths of muscles in the human body. The method is based on the premise that the resultant muscle force acts along the locus of the transverse cross-sectional centroids of the muscle. The path of the muscle is calculated by idealizing its centroid path as a frictionless elastic band, which moves freely over neighboring anatomical constraints such as bones and other muscles. The anatomical constraints, referred to as obstacles, are represented in the model by regular-shaped, rigid bodies such as spheres and cylinders. The obstacles, together with the muscle path, define an obstacle set. It is proposed that the path of any muscle can be modeled using one or more of the following four obstacle sets: single sphere, single cylinder, double cylinder, and sphere-capped cylinder. Assuming that the locus of the muscle centroids is known for an arbitrary joint configuration, the obstacle-set method can be used to calculate the path of the muscle for all other joint configurations. The obstacle-set method accounts not only for the interaction between a muscle and a neighboring anatomical constraint, but also for the way in which this interaction changes with joint configuration. Consequently, it is the only feasible method for representing the paths of muscles which cross joints with multiple degrees of freedom such as the deltoid at the shoulder.

Entities:  

Year:  2000        PMID: 11264836     DOI: 10.1080/10255840008915251

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


  17 in total

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3.  Computational Models for Neuromuscular Function.

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4.  Estimation of musculotendon kinematics in large musculoskeletal models using multidimensional B-splines.

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Authors:  Peter J Bishop; Krijn B Michel; Antoine Falisse; Andrew R Cuff; Vivian R Allen; Friedl De Groote; John R Hutchinson
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6.  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

7.  Dependence of Muscle Moment Arms on In Vivo Three-Dimensional Kinematics of the Knee.

Authors:  Alessandro Navacchia; Vasiliki Kefala; Kevin B Shelburne
Journal:  Ann Biomed Eng       Date:  2016-09-12       Impact factor: 3.934

8.  Patient-specific fibre-based models of muscle wrapping.

Authors:  J Kohout; G J Clapworthy; Y Zhao; Y Tao; G Gonzalez-Garcia; F Dong; H Wei; E Kohoutová
Journal:  Interface Focus       Date:  2013-04-06       Impact factor: 3.906

9.  Finger muscle attachments for an OpenSim upper-extremity model.

Authors:  Jong Hwa Lee; Deanna S Asakawa; Jack T Dennerlein; Devin L Jindrich
Journal:  PLoS One       Date:  2015-04-08       Impact factor: 3.240

10.  Assessment of external and internal loads in the triple jump via inverse dynamics simulation.

Authors:  K Dziewiecki; Z Mazur; W Blajer
Journal:  Biol Sport       Date:  2013-04-11       Impact factor: 2.806

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