Kramer Patricia Ann, Feuerriegel Elen M, Lautzenheiser Steven G, Sylvester Adam D
Department of Anthropology, University of Washington, Denny Hall, Seattle, WA 98195, USA.
Evolutionary Studies Institute, University of Witwatersrand, Private Bag 3, Wits, 2050, South Africa.
Evol Hum Sci. 2022 Feb 15;4:e6. doi: 10.1017/ehs.2022.6. eCollection 2022.
Musculoskeletal models, like all theoretical models of physical processes, depend on the assumptions needed to construct the model. For musculoskeletal models, these assumptions include, among other things, the kinematic data, the kinetic data and the muscle parameters. The former (dynamic) data can be acquired relatively easily from living subjects, but the latter are usually based on limited information, frequently determined from cadaver studies performed on elderly individuals. Previously, we determined the sensitivity of forces to dynamic differences among 10 humans walking on a straight path. Here, we assess the sensitivity of the muscle and joint reaction forces developed in human walking to variable muscle parameters obtained from 10 living adults, whose data were recently reported, and compared the results with the values from a standard model that depends on cadaveric data. We found that, while the force patterns across the stance cycle were similar among muscle parameter models, differences of as much as 15% in the force magnitude were produced. Whether or not the variation between the standard model and other muscle parameters is important depends on why the forces are required.
与所有物理过程的理论模型一样,肌肉骨骼模型依赖于构建模型所需的假设。对于肌肉骨骼模型而言,这些假设尤其包括运动学数据、动力学数据和肌肉参数。前一类(动态)数据相对容易从活体受试者身上获取,但后一类数据通常基于有限的信息,常常是根据对老年人进行的尸体研究确定的。此前,我们确定了10名在直线路径上行走的人之间力对动态差异的敏感性。在此,我们评估了人类行走过程中产生的肌肉和关节反作用力对从10名活体成年人获得的可变肌肉参数的敏感性,这些成年人的数据最近已有报道,并将结果与依赖尸体数据的标准模型的值进行了比较。我们发现,虽然在肌肉参数模型中整个站立周期的力模式相似,但力的大小差异高达15%。标准模型与其他肌肉参数之间的差异是否重要取决于需要这些力的原因。