Influence of body segments' parameters estimation models on inverse dynamics solutions during gait
Influence of body segments' parameters estimation models on inverse dynamics solutions during gait
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DOI：
10.1016/j.jbiomech.2005.04.014
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发表时间：
2006-01-01
影响因子：
2.4
通讯作者：
Favier, Daniel
中科院分区：
文献类型：
--
作者：
Rao, Guillaume;Amarantini, David;Favier, Daniel
本研究的目的是检查人体测量数据的影响，关节动力学步态。我们特别关注的敏感性的逆动力学解决方案使用模型的身体部分参数（BSP）估计。选择六种常用的估计模型来提供下肢三个节段的BSP值。运动学和动力学采样从七个主题进行赤脚步态在三个不同的速度。关节动力学估计与自下而上的方法使用BSP值来自每个估计模型作为人体测量输入。BSP估计值对所用模型高度敏感，偏差范围至少为9.73%至60%。摆动阶段髋关节屈伸力矩峰值的最大变化为20.11%。因此，我们的研究结果表明，BSP的影响不容忽视。观察到的偏差特别是由于根据连接每个组件的相互依赖关系同时改变质量、惯性矩和质心位置值的影响。考虑到关节动力学和BSP模型的准确性水平的差异，提供了证据，使用来自Zatsiorsky和Seluyanov的多元回归BSP估计函数（生物力学VIII-B，1983年，第112页）。1152-1159）应推荐用于评估关节动力学。(c)2005爱思唯尔有限公司保留所有权利。
The purpose of the present study was to examine the influence of anthropometric data on joint kinetics during gait. We particularly focused on the sensitivity of inverse dynamics solutions to the use of models for body segment parameters (BSP) estimation. Six often used estimation models were selected to provide BSP values for the three segments of the lower limb. Kinematics and dynamics were sampled from seven subjects performing barefoot gait at three different speeds. Joint kinetics were estimated with the bottom-up method using BSP values derived from each estimation model as anthropometric inputs. The BSP estimates were highly sensitive to the model used with deviations ranging from at least 9.73% up to 60%. Maximal variations of peak values for the hip joint flexion/extension moment during the swing phase were 20.11%. Hence, our findings suggest that the influence of BSP cannot be neglected. Observed deviations are especially due to the effect of varying simultaneously the mass, moments of inertia and the center of mass location values, according to the underlying relationship of interdependency linking each component. Considering both the differences found in joint kinetics and the level of accuracy of BSP models, evidence is provided that using multiple regression BSP estimation functions derived from Zatsiorsky and Seluyanov (Biomechanics VIII-B, 1983, pp. 1152-1159) should be recommended to assess joint kinetics. (c) 2005 Elsevier Ltd. All rights reserved.