Literature DB >> 20498485

Sensitivity of estimated muscle force in forward simulation of normal walking.

Ming Xiao1, Jill Higginson.   

Abstract

Generic muscle parameters are often used in muscle-driven simulations of human movement to estimate individual muscle forces and function. The results may not be valid since muscle properties vary from subject to subject. This study investigated the effect of using generic muscle parameters in a muscle-driven forward simulation on muscle force estimation. We generated a normal walking simulation in OpenSim and examined the sensitivity of individual muscle forces to perturbations in muscle parameters, including the number of muscles, maximum isometric force, optimal fiber length, and tendon slack length. We found that when changing the number of muscles included in the model, only magnitude of the estimated muscle forces was affected. Our results also suggest it is especially important to use accurate values of tendon slack length and optimal fiber length for ankle plantar flexors and knee extensors. Changes in force production by one muscle were typically compensated for by changes in force production by muscles in the same functional muscle group, or the antagonistic muscle group. Conclusions regarding muscle function based on simulations with generic musculoskeletal parameters should be interpreted with caution.

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Year:  2010        PMID: 20498485      PMCID: PMC2877275          DOI: 10.1123/jab.26.2.142

Source DB:  PubMed          Journal:  J Appl Biomech        ISSN: 1065-8483            Impact factor:   1.833


  19 in total

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2.  Estimation of muscle forces and joint moments using a forward-inverse dynamics model.

Authors:  Thomas S Buchanan; David G Lloyd; Kurt Manal; Thor F Besier
Journal:  Med Sci Sports Exerc       Date:  2005-11       Impact factor: 5.411

3.  Muscle contributions to support during gait in an individual with post-stroke hemiparesis.

Authors:  J S Higginson; F E Zajac; R R Neptune; S A Kautz; S L Delp
Journal:  J Biomech       Date:  2005-07-25       Impact factor: 2.712

Review 4.  Model-based estimation of muscle forces exerted during movements.

Authors:  Ahmet Erdemir; Scott McLean; Walter Herzog; Antonie J van den Bogert
Journal:  Clin Biomech (Bristol, Avon)       Date:  2006-10-27       Impact factor: 2.063

5.  Sensitivity of muscle force estimates to variations in muscle-tendon properties.

Authors:  Christian Redl; Margit Gfoehler; Marcus G Pandy
Journal:  Hum Mov Sci       Date:  2007-03-06       Impact factor: 2.161

6.  Muscle function may depend on model selection in forward simulation of normal walking.

Authors:  Ming Xiao; Jill S Higginson
Journal:  J Biomech       Date:  2008-09-19       Impact factor: 2.712

Review 7.  Skeletal muscle architecture: implications for muscle function and surgical tendon transfer.

Authors:  R L Lieber
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8.  Adjustment of muscle mechanics model parameters to simulate dynamic contractions in older adults.

Authors:  Darryl G Thelen
Journal:  J Biomech Eng       Date:  2003-02       Impact factor: 2.097

9.  Evaluation of different analytical methods for subject-specific scaling of musculotendon parameters.

Authors:  C R Winby; D G Lloyd; T B Kirk
Journal:  J Biomech       Date:  2008-05-05       Impact factor: 2.712

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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  13 in total

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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.  Global sensitivity analysis of the joint kinematics during gait to the parameters of a lower limb multi-body model.

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Journal:  Med Biol Eng Comput       Date:  2015-03-18       Impact factor: 2.602

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Authors:  Kurt Manal; Thomas S Buchanan
Journal:  J Biomech Eng       Date:  2013-02       Impact factor: 2.097

4.  Validation of an adjustment equation for the burst superimposition technique in subjects post-stroke.

Authors:  Brian A Knarr; Jill S Higginson; Stuart A Binder-Macleod
Journal:  Muscle Nerve       Date:  2012-08       Impact factor: 3.217

5.  The effects of Achilles tendon compliance on triceps surae mechanics and energetics in walking.

Authors:  Maria Isabel V Orselli; Jason R Franz; Darryl G Thelen
Journal:  J Biomech       Date:  2017-06-29       Impact factor: 2.712

6.  The inaccuracy of surface-measured model-derived tibiofemoral kinematics.

Authors:  Kang Li; Liying Zheng; Scott Tashman; Xudong Zhang
Journal:  J Biomech       Date:  2012-09-08       Impact factor: 2.712

7.  Are subject-specific musculoskeletal models robust to the uncertainties in parameter identification?

Authors:  Giordano Valente; Lorenzo Pitto; Debora Testi; Ajay Seth; Scott L Delp; Rita Stagni; Marco Viceconti; Fulvia Taddei
Journal:  PLoS One       Date:  2014-11-12       Impact factor: 3.240

8.  Sensitivity of a juvenile subject-specific musculoskeletal model of the ankle joint to the variability of operator-dependent input.

Authors:  Iain Hannah; Erica Montefiori; Luca Modenese; Joe Prinold; Marco Viceconti; Claudia Mazzà
Journal:  Proc Inst Mech Eng H       Date:  2017-05       Impact factor: 1.617

9.  Changes in predicted muscle coordination with subject-specific muscle parameters for individuals after stroke.

Authors:  Brian A Knarr; Darcy S Reisman; Stuart A Binder-Macleod; Jill S Higginson
Journal:  Stroke Res Treat       Date:  2014-06-25

10.  Automated Generation of Three-Dimensional Complex Muscle Geometries for Use in Personalised Musculoskeletal Models.

Authors:  Luca Modenese; Josef Kohout
Journal:  Ann Biomed Eng       Date:  2020-03-17       Impact factor: 3.934

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