An evaluation of the approaches of optimization models in the prediction of muscle forces during human gait.
An evaluation of the approaches of optimization models in the prediction of muscle forces during human gait.
复制标题
对预测人类步态肌肉力量的优化模型方法的评估。
DOI：
10.1016/0021-9290(81)90001-4
复制
发表时间：
1981
影响因子：
2.4
通讯作者：
J. Mansour
中科院分区：
文献类型：
--
作者：
A. G. Patriarco;A. G. Patriarco;Robertw . Mann;R. Mann;S. Simon;S. Simon;J. Mansour;J. Mansour
研究了人体步态的运动学数据采集系统和分析优化程序，其目标是确定行走周期中的个体肌肉力量。对现有方法的改进被认为是更关键的是依赖于关节角度的准确确定和关节扭矩的计算，而不是在特定的优化标准。基于生理学的信息的功能，和约束，个别肌肉补充优化程序。研究结果阐明了一系列正常人在步行周期中肌肉力量的时间模式和定量水平。
Kinematic data acquisition systems and analytical optimization procedures for the study of human gait have been investigated with the goal of ascertaining individual muscle forces during a walking cycle. Improvements on existing approaches were found to be more crucially dependent on the accurate determination of joint angles and the calculation of joint torques than on the particular optimization criteria employed. Physiologically-based information on the functions of, and constraints on, individual muscles supplemented the optimization procedures. The results of the study elucidate the temporal pattern and quantitative levels of muscle force in a walking cycle for a series of normal persons.