Literature DB >> 25905111

WHAT IS A MOMENT ARM? CALCULATING MUSCLE EFFECTIVENESS IN BIOMECHANICAL MODELS USING GENERALIZED COORDINATES.

Michael A Sherman1, Ajay Seth1, Scott L Delp2.   

Abstract

Biomechanics researchers often use multibody models to represent biological systems. However, the mapping from biology to mechanics and back can be problematic. OpenSim is a popular open source tool used for this purpose, mapping between biological specifications and an underlying generalized coordinate multibody system called Simbody. One quantity of interest to biomechanical researchers and clinicians is "muscle moment arm," a measure of the effectiveness of a muscle at contributing to a particular motion over a range of configurations. OpenSim can automatically calculate these quantities for any muscle once a model has been built. For simple cases, this calculation is the same as the conventional moment arm calculation in mechanical engineering. But a muscle may span several joints (e.g., wrist, neck, back) and may follow a convoluted path over various curved surfaces. A biological joint may require several bodies or even a mechanism to accurately represent in the multibody model (e.g., knee, shoulder). In these situations we need a careful definition of muscle moment arm that is analogous to the mechanical engineering concept, yet generalized to be of use to biomedical researchers. Here we present some biomechanical modeling challenges and how they are resolved in OpenSim and Simbody to yield biologically meaningful muscle moment arms.

Entities:  

Year:  2013        PMID: 25905111      PMCID: PMC4404026          DOI: 10.1115/DETC2013-13633

Source DB:  PubMed          Journal:  Proc ASME Des Eng Tech Conf


  24 in total

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Journal:  Comput Methods Biomech Biomed Engin       Date:  2000       Impact factor: 1.763

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Journal:  Gait Posture       Date:  2000-06       Impact factor: 2.840

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Journal:  Comput Biol Med       Date:  1995-01       Impact factor: 4.589

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Journal:  Phys Ther       Date:  1993-12

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Authors:  K N An; K Takahashi; T P Harrigan; E Y Chao
Journal:  J Biomech Eng       Date:  1984-08       Impact factor: 2.097

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Authors:  Samuel R Hamner; Ajay Seth; Scott L Delp
Journal:  J Biomech       Date:  2010-08-09       Impact factor: 2.712

9.  Muscular strategy shift in human running: dependence of running speed on hip and ankle muscle performance.

Authors:  Tim W Dorn; Anthony G Schache; Marcus G Pandy
Journal:  J Exp Biol       Date:  2012-06-01       Impact factor: 3.312

10.  Muscle-driven forward dynamic simulations for the study of normal and pathological gait.

Authors:  Stephen J Piazza
Journal:  J Neuroeng Rehabil       Date:  2006-03-06       Impact factor: 4.262

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  19 in total

1.  Is my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement.

Authors:  Jennifer L Hicks; Thomas K Uchida; Ajay Seth; Apoorva Rajagopal; Scott L Delp
Journal:  J Biomech Eng       Date:  2015-01-26       Impact factor: 2.097

2.  Passive cervical spine ligaments provide stability during head impacts.

Authors:  Calvin Kuo; Jodie Sheffels; Michael Fanton; Ina Bianca Yu; Rosa Hamalainen; David Camarillo
Journal:  J R Soc Interface       Date:  2019-05-29       Impact factor: 4.118

3.  Dysplastic hip anatomy alters muscle moment arm lengths, lines of action, and contributions to joint reaction forces during gait.

Authors:  Ke Song; Brecca M M Gaffney; Kevin B Shelburne; Cecilia Pascual-Garrido; John C Clohisy; Michael D Harris
Journal:  J Biomech       Date:  2020-07-25       Impact factor: 2.712

4.  Computational modelling of muscle fibre operating ranges in the hindlimb of a small ground bird (Eudromia elegans), with implications for modelling locomotion in extinct species.

Authors:  Peter J Bishop; Krijn B Michel; Antoine Falisse; Andrew R Cuff; Vivian R Allen; Friedl De Groote; John R Hutchinson
Journal:  PLoS Comput Biol       Date:  2021-04-01       Impact factor: 4.475

Review 5.  A geometry- and muscle-based control architecture for synthesising biological movement.

Authors:  Johannes R Walter; Michael Günther; Daniel F B Haeufle; Syn Schmitt
Journal:  Biol Cybern       Date:  2021-02-15       Impact factor: 2.086

6.  The biomechanical disadvantage of dysplastic hips.

Authors:  Michael D Harris; Molly C Shepherd; Ke Song; Brecca M M Gaffney; Travis J Hillen; Marcie Harris-Hayes; John C Clohisy
Journal:  J Orthop Res       Date:  2021-08-30       Impact factor: 3.102

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.  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

9.  A computational framework for simultaneous estimation of muscle and joint contact forces and body motion using optimization and surrogate modeling.

Authors:  Ilan Eskinazi; Benjamin J Fregly
Journal:  Med Eng Phys       Date:  2018-03-02       Impact factor: 2.242

10.  Exploring the functional morphology of the Gorilla shoulder through musculoskeletal modelling.

Authors:  Julia van Beesel; John R Hutchinson; Jean-Jacques Hublin; Stephanie M Melillo
Journal:  J Anat       Date:  2021-02-24       Impact factor: 2.610

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