University of Salford, UK.
Gillette Children's Specialty Healthcare, St. Paul, MN, USA; University of Minnesota, Minneapolis, MN, USA.
Gait Posture. 2014 Jun;40(2):286-90. doi: 10.1016/j.gaitpost.2014.03.185. Epub 2014 Apr 3.
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. Substantial 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 0.1 Nm/kg for all joint moments and than 0.21 W/kg for all joint powers. The two centres showed very similar normative standard deviations. The 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. An electronic appendix includes data to facilitate this comparison.
步态分析服务之间的规范数据比较有可能实现数据收集协议的协调。本文提出了一种基于以下假设的比较方法:与服务间平均值的均方根差反映了协议中的系统差异,而平均标准差包含归因于中心内测量变异性的分量。两个备受推崇的临床服务的大量规范数据集进行了比较。除髋关节旋转(2.9°)和足廓清(2.1°)外,所有运动学变量的中心间平均值差异的 RMS 差均小于 1.7°,所有关节力矩均小于 0.1 Nm/kg,所有关节功率均小于 0.21 W/kg。这两个中心表现出非常相似的规范标准偏差。数据表明,两个备受推崇的步态分析服务的数据具有高度一致性,并为其他服务评估其性能提供了基准。电子附录包括有助于进行此比较的数据。