Winters J M, Stark L
Group in Bioengineering, University of California, Berkeley.
J Biomech. 1988;21(12):1027-41. doi: 10.1016/0021-9290(88)90249-7.
One of the most challenging aspects of biomechanical modelling is parameter estimation. Parameter values that define the nonlinear relations within the classic Hill-based muscle model structure have been estimated for a large number of muscles involved in movements of a number of joints. The technique used to estimate these parameters is based on combining information on muscle as a material with geometrical data on muscle-joint anatomy. The resulting relations are compatible with available human experimental data and with past modelling estimates. An estimation of the relative importance of the various synergistic muscle properties during dynamic movement tasks is also provided, aided by examples of muscle load-sharing as a function of optimization criteria including measures of position error, muscle stress and neural effort.
生物力学建模最具挑战性的方面之一是参数估计。对于参与多个关节运动的大量肌肉，已经估计出了定义经典基于希尔模型的肌肉模型结构内非线性关系的参数值。用于估计这些参数的技术是基于将肌肉作为一种材料的信息与肌肉-关节解剖结构的几何数据相结合。所得关系与现有的人体实验数据以及过去的建模估计结果相符。还提供了在动态运动任务中各种协同肌肉特性的相对重要性的估计，并辅以肌肉负荷分担的示例，该示例是作为优化标准的函数，包括位置误差、肌肉应力和神经努力的度量。
