Uncertainty analysis for wheelchair propulsion dynamics.
Uncertainty analysis for wheelchair propulsion dynamics.
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DOI：
10.1109/86.593279
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发表时间：
1997-06-01
期刊：
影响因子：
--
通讯作者：
Shimada, S D
中科院分区：
文献类型：
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作者：
Cooper, R A;Boninger, M L;Shimada, S D
轮椅推进动力学测量需要使用定制的推缘力/力矩测量仪器，但目前尚未上市。有了测量推力和力矩的能力，就有了几个动态指标的发展，这些指标是用来分析轮椅推进的关键方面的。本文介绍了几个用于计算或推导轮椅推进生物力学研究中使用的主要变量的方程。这些变量的不确定性推导，然后数值计算的SMARTWheel的当前版本。不确定性结果表明，SMARTWheel提供的数据具有优于5%至10%的不确定性，这取决于有关变量，在最大值，并且在大部分推进阶段，不确定性相当小（即，约1%）。不确定性分析提供了一个更完整的画面的SMARTWheel可达到的精度和程度的信心，可以记录数据。推导和结果表明，在轮椅推进生物力学变量的测量改进可能起源。最有效的方法是在系统设计中处理那些对不确定性贡献最大的变量。未来的研究将集中在力的应用和非线性效应的检查点。
Wheelchair propulsion kinetic measurements require the use of custom pushrim force/moment measuring instruments which are not currently commercially available. With the ability to measure pushrim forces and moments has come the development of several dynamic metrics derived for analyzing key aspects of wheelchair propulsion. This paper presents several of the equations used to calculate or derive the primary variables used in the study of wheelchair propulsion biomechanics. The uncertainties for these variables were derived, and then numerically calculated for a current version of the SMARTWheel. The uncertainty results indicate that the SMARTWheel provides data which has better than 5 to 10% uncertainty, depending upon the variable concerned, at the maximum, and during most of the propulsion phase the uncertainty is considerably smaller (i.e., approximately 1%). The uncertainty analysis provides a more complete picture of the attainable accuracy of the SMARTWheel and of the degree of confidence with which the data can be recorded. The derivations and results indicate where improvements in measurement of wheelchair propulsion biomechanical variables are likely to originate. The most efficient approach is to address those variables in the design of the system which make the greatest contribution to the uncertainty. Future research will focus on the point of force application and examination of nonlinear effects.