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对称角:一种新颖、稳健的不对称量化方法。

The symmetry angle: a novel, robust method of quantifying asymmetry.

作者信息

Zifchock Rebecca Avrin, Davis Irene, Higginson Jill, Royer Todd

机构信息

The Leon Root, MD Motion Analysis Laboratory, Hospital for Special Surgery, New York, NY 10021, United States.

出版信息

Gait Posture. 2008 May;27(4):622-7. doi: 10.1016/j.gaitpost.2007.08.006. Epub 2007 Oct 29.

Abstract

Quantification of asymmetry is a common objective in both research and clinical settings. The most common method for quantification of asymmetry of discrete variables is calculation of the symmetry index. Essentially a measure of the percent difference between sides, the symmetry index requires the choice of a reference value. This is a limitation as the choice of value is not always clear, and can lead to inconsistent results and artificially inflated values. Therefore, the purposes of the current study were to examine the limitations of the symmetry index in depth, define a new method of quantifying symmetry that is robust to those limitations (the symmetry angle), and compute the correlations between the two measures. The results showed that, when using the symmetry index, the interpretation of asymmetry can be highly affected by the choice of reference value. The symmetry angle does not require the choice of a reference value. Therefore, it is not prone to the same limitations. While symmetry angle values tend to be smaller than symmetry index values, the measures are very highly correlated. This suggests that the symmetry angle is a good substitute for the symmetry index. Future studies of asymmetry may benefit from the use of the symmetry angle, as it is equally effective for identifying intra-limb differences as the symmetry index, but is not prone to problems due to normalization and provides a standard scale (+/-100%) to interpret results.

摘要

不对称性的量化在研究和临床环境中都是一个常见目标。离散变量不对称性量化的最常用方法是计算对称指数。对称指数本质上是两侧百分比差异的一种度量,需要选择一个参考值。这是一个局限性,因为值的选择并不总是明确的,并且可能导致结果不一致和人为夸大的值。因此,本研究的目的是深入研究对称指数的局限性,定义一种对这些局限性具有鲁棒性的量化对称性的新方法(对称角),并计算这两种度量之间的相关性。结果表明,使用对称指数时,不对称性的解释可能会受到参考值选择的高度影响。对称角不需要选择参考值。因此,它不容易受到同样的局限性影响。虽然对称角值往往比对称指数值小,但这两种度量高度相关。这表明对称角是对称指数的一个很好的替代方法。未来关于不对称性的研究可能会受益于对称角的使用,因为它在识别肢体内部差异方面与对称指数同样有效,但不容易出现归一化问题,并且提供了一个标准尺度(±100%)来解释结果。

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