Literature DB >> 27189654

Curved muscles in biomechanical models of the spine: a systematic literature review.

Jaejin Hwang1, Gregory G Knapik1, Jonathan S Dufour1, William S Marras1.   

Abstract

Early biomechanical spine models represented the trunk muscles as straight-line approximations. Later models have endeavoured to accurately represent muscle curvature around the torso. However, only a few studies have systematically examined various techniques and the logic underlying curved muscle models. The objective of this review was to systematically categorise curved muscle representation techniques and compare the underlying logic in biomechanical models of the spine. Thirty-five studies met our selection criteria. The most common technique of curved muscle path was the 'via-point' method. Curved muscle geometry was commonly developed from MRI/CT database and cadaveric dissections, and optimisation/inverse dynamics models were typically used to estimate muscle forces. Several models have attempted to validate their results by comparing their approach with previous studies, but it could not validate of specific tasks. For future needs, personalised muscle geometry, and person- or task-specific validation of curved muscle models would be necessary to improve model fidelity. Practitioner Summary: The logic underlying the curved muscle representations in spine models is still poorly understood. This literature review systematically categorised different approaches and evaluated their underlying logic. The findings could direct future development of curved muscle models to have a better understanding of the biomechanical causal pathways of spine disorders.

Entities:  

Keywords:  Curved muscle; biomechanical model; muscle path; spine model; wrapping muscle

Mesh:

Year:  2016        PMID: 27189654     DOI: 10.1080/00140139.2016.1190410

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  2 in total

1.  Biomechanical Research on Special Ability of Long Jump Take-Off Muscle Based on Multisource Information Fusion.

Authors:  Yue Ren; Bingquan Luo; Jun Chu
Journal:  Appl Bionics Biomech       Date:  2022-04-07       Impact factor: 1.664

2.  Implementation and validation of the extended Hill-type muscle model with robust routing capabilities in LS-DYNA for active human body models.

Authors:  Christian Kleinbach; Oleksandr Martynenko; Janik Promies; Daniel F B Haeufle; Jörg Fehr; Syn Schmitt
Journal:  Biomed Eng Online       Date:  2017-09-02       Impact factor: 2.819

  2 in total

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