Suppr超能文献

基于希尔模型的肌肉模型对模型参数扰动的敏感性。

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

作者信息

Scovil Carol Y, Ronsky Janet L

机构信息

Human Performance Laboratory & Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB, Canada T2N 1N4.

出版信息

J Biomech. 2006;39(11):2055-63. doi: 10.1016/j.jbiomech.2005.06.005. Epub 2005 Aug 9.

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.

摘要

人体运动的肌肉骨骼模拟通常使用希尔肌肉模型来预测肌肉力量,但其对模型参数值的敏感性尚未得到很好的理解。本研究的目的是通过将14个希尔肌肉模型参数中的每个参数分别变化±50%,来评估跑步和行走正向动力学模拟中肌肉模型对这些参数扰动的敏感性。基于以下三点对肌肉模型进行了三次评估:(1)仅计算肌肉模型的敏感性;(2)确定肌肉方程相对于每个参数的连续偏导数;(3)评估对跑步和行走模拟的影响。研究发现,模型评估对定义串联弹性成分(肌腱)、收缩元件的力-长度曲线和最大等长力的参数非常敏感(输出的百分比变化大于参数扰动)。对于某些参数,文献值的范围大于模型敏感性。模型评估对定义并联弹性元件、收缩元件的力-速度曲线和肌肉激活时间常数的参数不敏感。导数方法提供了类似的结果,但也提供了一个通用的连续方程,可轻松应用于其他运动。与仅肌肉模型的敏感性相比,跑步和行走模拟的敏感性有所降低。结果表明了以可控方式评估肌肉骨骼模拟敏感性的重要性,并指出了基于特定运动的敏感性必须最谨慎选择哪些参数。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验