Literature DB >> 7154650

A model of lower extremity muscular anatomy.

R A Brand, R D Crowninshield, C E Wittstock, D R Pedersen, C R Clark, F M van Krieken.   

Abstract

The mathematical prediction of muscle and joint force requires a quantitative knowledge of muscle origins and insertions. A model is presented based upon marking the origins and insertions in three cadavers (six limbs). Right-to-left biological variations and/or making errors are sometimes significant, but they rarely result in moment arm calculation variations of greater than 20 percent and usually the variations are less than 10 percent. The muscle origin and insertion differences between small and large cadavers is great, as would be expected, and the use of single specimen or average data will result in large errors in muscle force predictions. A scaling scheme is presented which substantially reduces those errors. The inherent limitations of developing a straight line muscle model include: 1) right-to-left biological variations and/or marking errors; 2) difficulties in establishing "effective" origins or insertions when the locations of the actual origin or insertion do not accurately reflect muscle function; and 3) intersubject variability which cannot be accounted for by simple scaling schemes.

Mesh:

Year:  1982        PMID: 7154650     DOI: 10.1115/1.3138363

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  19 in total

1.  Muscle fibre recruitment can respond to the mechanics of the muscle contraction.

Authors:  James M Wakeling; Katrin Uehli; Antra I Rozitis
Journal:  J R Soc Interface       Date:  2006-08-22       Impact factor: 4.118

2.  Pelvic and lower extremity physiological cross-sectional areas: an MRI study of the living young and comparison to published research literature.

Authors:  Juliane Lube; Natasha A M S Flack; Sebastian Cotofana; Orkun Özkurtul; Stephanie J Woodley; Stefan Zachow; Niels Hammer
Journal:  Surg Radiol Anat       Date:  2017-03-03       Impact factor: 1.246

3.  Using nonlinear finite element models to analyse stress distribution during subluxation and torque required for dislocation of newly developed total hip structure after prosthetic impingement.

Authors:  Wei-Min Chi; Chien-Chung Lin; Ying-Jui Ho; Hsiao-Che Lin; Jian-Horng Chen
Journal:  Med Biol Eng Comput       Date:  2017-07-01       Impact factor: 2.602

4.  Knee and elbow 3D strength surfaces: peak torque-angle-velocity relationships.

Authors:  Laura A Frey-Law; Andrea Laake; Keith G Avin; Jesse Heitsman; Tim Marler; Karim Abdel-Malek
Journal:  J Appl Biomech       Date:  2012-07-06       Impact factor: 1.833

5.  A model of the lower limb for analysis of human movement.

Authors:  Edith M Arnold; Samuel R Ward; Richard L Lieber; Scott L Delp
Journal:  Ann Biomed Eng       Date:  2009-12-03       Impact factor: 3.934

6.  Hip joint contact force in the emu (Dromaius novaehollandiae) during normal level walking.

Authors:  Jessica E Goetz; Timothy R Derrick; Douglas R Pedersen; Duane A Robinson; Michael G Conzemius; Thomas E Baer; Thomas D Brown
Journal:  J Biomech       Date:  2008-01-18       Impact factor: 2.712

7.  The influence of alignment on the musculo-skeletal loading conditions at the knee.

Authors:  Markus O Heller; William R Taylor; Carsten Perka; Georg N Duda
Journal:  Langenbecks Arch Surg       Date:  2003-09-12       Impact factor: 3.445

8.  Using two palpable measurements improves the subject-specific femoral modeling.

Authors:  Weidong Luo; Steven J Stanhope; Frances T Sheehan
Journal:  J Biomech       Date:  2009-06-10       Impact factor: 2.712

9.  Identification of the contribution of the ankle and hip joints to multi-segmental balance control.

Authors:  Tjitske Anke Boonstra; Alfred C Schouten; Herman van der Kooij
Journal:  J Neuroeng Rehabil       Date:  2013-02-22       Impact factor: 4.262

10.  Influence of model complexity and problem formulation on the forces in the knee calculated using optimization methods.

Authors:  Chih-Chung Hu; Tung-Wu Lu; Sheng-Chang Chen
Journal:  Biomed Eng Online       Date:  2013-03-07       Impact factor: 2.819

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