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仅基于测量的运动学数据,在完整步态周期上进行全身逆动力学分析。

Whole body inverse dynamics over a complete gait cycle based only on measured kinematics.

作者信息

Ren Lei, Jones Richard K, Howard David

机构信息

School of Physical Sciences and Engineering, King's College of London, Strand, London WC2R 2LS, UK.

出版信息

J Biomech. 2008 Aug 28;41(12):2750-9. doi: 10.1016/j.jbiomech.2008.06.001. Epub 2008 Jul 30.

Abstract

This paper presents a three-dimensional (3D) whole body multi-segment model for inverse dynamics analysis over a complete gait cycle, based only on measured kinematic data. The sequence of inverse dynamics calculations differs significantly from the conventional application of inverse dynamics using force plate data. A new validated "Smooth Transition Assumption" was used to solve the indeterminacy problem in the double support phase. Kinematic data is required for all major body segments and, hence, a whole body gait measurement protocol is presented. Finally, sensitivity analyses were conducted to evaluate the effects of digital filtering and body segment parameters on the accuracy of the prediction results. The model gave reasonably good estimates of sagittal plane ground forces and moment; however, the estimates in the other planes were less good, which we believe is largely due to their small magnitudes in comparison to the sagittal forces and moment. The errors observed are most likely caused by errors in the kinematic data resulting from skin movement artefact and by errors in the estimated body segment parameters. A digital filtering cut-off frequency of 4.5 Hz was found to produce the best results. It was also shown that errors in the mass properties of body segments can play a crucial role, with changes in properties sometimes having a disproportionate effect on the calculated ground reactions. The implication of these results is that, even when force plate data is available, the estimated joint forces are likely to suffer from similar errors.

摘要

本文提出了一种三维(3D)全身多节段模型,用于仅基于测量的运动学数据对完整步态周期进行逆动力学分析。逆动力学计算顺序与使用测力台数据的传统逆动力学应用有显著差异。采用一种新的经过验证的“平滑过渡假设”来解决双支撑相的不确定性问题。所有主要身体节段都需要运动学数据,因此,本文提出了一种全身步态测量方案。最后,进行了敏感性分析,以评估数字滤波和身体节段参数对预测结果准确性的影响。该模型对矢状面地面力和力矩给出了较为合理的估计;然而,对其他平面的估计则不太理想,我们认为这主要是因为与矢状力和力矩相比,它们的大小较小。观察到的误差很可能是由皮肤运动伪影导致的运动学数据误差以及估计的身体节段参数误差引起的。发现4.5Hz的数字滤波截止频率能产生最佳结果。研究还表明,身体节段质量属性的误差可能起关键作用,属性变化有时对计算出的地面反作用力有不成比例的影响。这些结果的含义是,即使有测力台数据,估计的关节力也可能存在类似误差。

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