Literature DB >> 16084520

Sensitivity of a Hill-based muscle model to perturbations in model parameters.

Carol Y Scovil1, Janet L Ronsky.   

Abstract

Musculoskeletal simulations of human movement commonly use Hill muscle models to predict muscle forces, but their sensitivity to model parameter values is not well understood. The purpose of this study was to evaluate muscle model sensitivity to perturbations in 14 Hill muscle model parameters in forward dynamic simulations of running and walking by varying each by +/-50%. Three evaluations of the muscle model were performed based on: (1) calculating the sensitivity of the muscle model only, (2) determining the continuous partial derivatives of the muscle equations with respect to each parameter, and (3) evaluating the effects on the running and walking simulations. Model evaluations were found to be very sensitive (percent change in outputs greater than parameter perturbation) to parameters defining the series elastic component (tendon), force-length curve of the contractile element and maximum isometric force. For some parameters, the range of literature values was larger than the model sensitivity. Model evaluations were insensitive to parameters defining the parallel elastic element, force-velocity curve of the contractile element and muscle activation time constants. The derivative method provided similar results, but also provided a generic, continuous equation that can easily be applied to other motions. The sensitivities of the running and walking simulations were reduced compared to the sensitivity of the muscle model alone. Results demonstrate the importance of evaluating sensitivity of a musculoskeletal simulation in a controlled manner and provide an indication of which parameters must be selected most carefully based on the sensitivity of a given movement.

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Year:  2005        PMID: 16084520     DOI: 10.1016/j.jbiomech.2005.06.005

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


  33 in total

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Review 4.  Clinical applications of musculoskeletal modelling for the shoulder and upper limb.

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5.  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

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

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7.  A novel ex vivo protocol to mimic human walking gait: implications for Duchenne muscular dystrophy.

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8.  Contractile and non-contractile tissue volume and distribution in ankle muscles of young and older adults.

Authors:  Christopher J Hasson; Jane A Kent-Braun; Graham E Caldwell
Journal:  J Biomech       Date:  2011-06-22       Impact factor: 2.712

9.  A probabilistic approach to quantify the impact of uncertainty propagation in musculoskeletal simulations.

Authors:  Casey A Myers; Peter J Laz; Kevin B Shelburne; Bradley S Davidson
Journal:  Ann Biomed Eng       Date:  2014-11-18       Impact factor: 3.934

Review 10.  The evolutionary continuum of limb function from early theropods to birds.

Authors:  John R Hutchinson; Vivian Allen
Journal:  Naturwissenschaften       Date:  2008-12-24
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