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一种用于人体步态动态分析的计算模型。

A computational model for dynamic analysis of the human gait.

作者信息

Vimieiro Claysson, Andrada Emanuel, Witte Hartmut, Pinotti Marcos

机构信息

a Bioengineering Laboratory - LABBIO, Department of Mechanical Engineering , Universidade Federal de Minas Gerais - UFMG , Belo Horizonte , MG , Brazil.

出版信息

Comput Methods Biomech Biomed Engin. 2015;18(7):799-804. doi: 10.1080/10255842.2013.848859. Epub 2013 Oct 25.

DOI:10.1080/10255842.2013.848859
PMID:24156601
Abstract

Biomechanical models are important tools in the study of human motion. This work proposes a computational model to analyse the dynamics of lower limb motion using a kinematic chain to represent the body segments and rotational joints linked by viscoelastic elements. The model uses anthropometric parameters, ground reaction forces and joint Cardan angles from subjects to analyse lower limb motion during the gait. The model allows evaluating these data in each body plane. Six healthy subjects walked on a treadmill to record the kinematic and kinetic data. In addition, anthropometric parameters were recorded to construct the model. The viscoelastic parameter values were fitted for the model joints (hip, knee and ankle). The proposed model demonstrated that manipulating the viscoelastic parameters between the body segments could fit the amplitudes and frequencies of motion. The data collected in this work have viscoelastic parameter values that follow a normal distribution, indicating that these values are directly related to the gait pattern. To validate the model, we used the values of the joint angles to perform a comparison between the model results and previously published data. The model results show a same pattern and range of values found in the literature for the human gait motion.

摘要

生物力学模型是人体运动研究中的重要工具。这项工作提出了一个计算模型,该模型使用运动链来表示身体各部分以及由粘弹性元件连接的旋转关节,以此来分析下肢运动的动力学。该模型使用人体测量参数、地面反作用力以及受试者的关节万向角来分析步态期间的下肢运动。该模型允许在每个身体平面中评估这些数据。六名健康受试者在跑步机上行走以记录运动学和动力学数据。此外,记录人体测量参数以构建模型。为模型关节(髋、膝和踝)拟合粘弹性参数值。所提出的模型表明,操纵身体各部分之间的粘弹性参数可以使运动的幅度和频率相匹配。在这项工作中收集的数据具有呈正态分布的粘弹性参数值,这表明这些值与步态模式直接相关。为了验证该模型,我们使用关节角度值对模型结果与先前发表的数据进行了比较。模型结果显示出与文献中人类步态运动相同的模式和数值范围。

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