Comparison of normative data between gait analysis services offers the potential to harmonise data collection protocols. This paper presents a method for such a comparison based on an assumption that the root mean square difference from the inter-service mean is a reflection of systematic differences in protocols and that the average standard deviation includes a component attributable to within-centre measurement variability. \ud\udSubstantial normative datasets from two highly respected clinical services were compared. The RMS difference for the difference from the inter-centre mean was less than 1.7° for all kinematic variables apart from hip rotation (2.9°) and foot progression (2.1°), less than 0.1Nm/kg for all joint moments and than 0.21W/kg for all joint powers. The two centres showed very similar normative standard deviations.\ud\udThe data demonstrates a high degree of consistency between data from two highly regarded gait analysis services and establishes a baseline against which other services can assess their performance.\ud\udAn electronic appendix includes data to facilitate this comparison.
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机译:步态分析服务之间的规范数据的比较提供了协调数据收集协议的潜力。本文提出了一种基于以下假设的比较方法:与服务间均方根的均方根差反映了协议中的系统差异,并且平均标准差包括可归因于中心内测量差异的成分。比较了来自两个备受推崇的临床服务的大量规范数据集。对于所有运动学变量,除髋关节旋转(2.9°)和足部渐进(2.1°)外,与中心间平均值之差的RMS差异小于1.7°,对于所有关节力矩均小于0.1Nm / kg,并且小于0.21 W / kg对于所有联合力量。这两个中心显示出非常相似的规范标准偏差。\ ud \ ud数据显示了来自两个备受推崇的步态分析服务的数据之间的高度一致性,并建立了其他服务可以评估其性能的基准。\ ud \ ud电子附录包括数据以促进这种比较。
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