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Accuracy and repeatability of parameter estimation methods from ambulatory data for the wrist joint

机译:腕关节动态数据中参数估计方法的准确性和可重复性

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In this paper, as a preliminary study, we show that accuracy and repeatability in ambulatory measurements of wrist joint are related to movement conditions which are going to be used in a calibration procedure. We chose two representative in-vivo, non-invasive calibration methods of the human upper limb, from those available in literature, to estimate joint parameters. Developing an analytical model of wrist joint we used sets of synthetic data each of which containing different number of samples, joint covariations and noise to estimate the repeatability and accuracy of the methods in estimation. Afterwards, we used our mechanical mock-up to examine single joint motions as well as the rotation of both joints (i.e. flexion-extension rotation and radial-ulnar deviation) on accuracy and repeatability by calculating the mean and standard deviation of the relative errors. Finally, we show that the accuracy of adapted method (its relative error was less than 7%) is better than the other method in estimating the joint parameters.
机译:在本文中,作为一项初步研究,我们显示了腕关节动态测量中的准确性和可重复性与将用于校准程序中的运动条件有关。我们从文献中选择了两种有代表性的人上肢的体内,非侵入性校准方法来估计关节参数。在开发腕关节分析模型时,我们使用了一组合成数据,每个数据包含不同数量的样本,关节协变量和噪声,以估计方法的可重复性和准确性。然后,我们通过计算相对误差的均值和标准差,使用机械模型来检查单个关节的运动以及两个关节的旋转(即屈伸旋转和尺骨尺骨偏斜)的准确性和可重复性。最后,我们表明,在估计关节参数方面,改编方法(其相对误差小于7%)的准确性优于其他方法。

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