Literature DB >> 19136112

A transformation method to estimate muscle attachments based on three bony landmarks.

Ricardo Matias1, Carlos Andrade, António Prieto Veloso.   

Abstract

In order to create musculoskeletal models that can be scalable to different subject specificities the calculation of the exact locations of muscle attachment is required. For this purpose, a scaling method is presented that estimates muscle attachment locations in homologous segments using three bony landmarks per segment. A data-set of 17 muscles' attachment lines from the shoulders of seven cadavers was used to assess the estimation quality of the scaling method. By knowing from the cadaver data the measured location of the muscles' attachment lines it is possible to assess the quality of the estimated ones. The scaling results showed an overall mean RMSE for the scapula and humerus muscles of 7.6 and 11.1mm, respectively. These results were then analyzed with an upper extremity model, in order to compute the influence of the RMSE in glenohumeral elevation muscle moment arms in the scapular plane. The results presented were considered to be satisfactory. Among other error contributors, the inter- and intra-subject variability should be further investigated, along with the sensitivity of a biomechanical model to these error variations.

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Year:  2009        PMID: 19136112     DOI: 10.1016/j.jbiomech.2008.11.027

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


  4 in total

1.  Modelling clavicular and scapular kinematics: from measurement to simulation.

Authors:  Bart Bolsterlee; H E J Veeger; F C T van der Helm
Journal:  Med Biol Eng Comput       Date:  2013-03-30       Impact factor: 2.602

2.  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

3.  Cervical Spine Injuries: A Whole-Body Musculoskeletal Model for the Analysis of Spinal Loading.

Authors:  Dario Cazzola; Timothy P Holsgrove; Ezio Preatoni; Harinderjit S Gill; Grant Trewartha
Journal:  PLoS One       Date:  2017-01-04       Impact factor: 3.240

4.  A Matlab toolbox for scaled-generic modeling of shoulder and elbow.

Authors:  Ehsan Sarshari; Yasmine Boulanaache; Alexandre Terrier; Alain Farron; Philippe Mullhaupt; Dominique Pioletti
Journal:  Sci Rep       Date:  2021-10-21       Impact factor: 4.379

  4 in total

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