Biomechanical features of gait waveform data associated with knee osteoarthritis - An application of principal component analysis
Biomechanical features of gait waveform data associated with knee osteoarthritis - An application of principal component analysis
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DOI：
10.1016/j.gaitpost.2006.01.007
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发表时间：
2007-01-01
期刊：
影响因子：
2.4
通讯作者：
Astephen, J. L.
中科院分区：
文献类型：
--
作者：
Deluzio, K. J.;Astephen, J. L.
这项研究比较了50名终末期膝骨性关节炎患者和63名年龄匹配的无症状对照组的步态。分析的重点是基于先前文献选择的三种步态波形测量方法，证明它们与膝关节骨关节炎(OA)相关：膝关节屈曲角度、屈曲力矩和内收力矩。目的是确定与膝骨性关节炎相关的这些步态测量的生物力学特征。主成分分析被用作数据简化工具，也是进一步分析的初步步骤，以确定OA组和对照组之间的步态模式差异。这些进一步的分析包括统计假设检验，以检测群体差异，以及判别分析，以量化总体群体分离，并在步态波形特征之间建立区分能力的等级。两组被分开，错分率(通过交叉验证估计为8%)。步态波形的判别特征依次为：屈曲力矩的幅度、屈曲角的运动范围、早期站立时的屈曲力矩的大小和站立时的内收力矩的大小。(C)2006爱思唯尔B.V.保留所有权利。
This study compared the gait of 50 patients with end-stage knee osteoarthritis to a group of 63 age-matched asymptomatic control subjects. The analysis focused on three gait waveform measures that were selected based on previous literature demonstrating their relevance to knee osteoarthritis (OA): the knee flexion angle, flexion moment, and adduction moment. The objective was to determine the biomechanical features of these gait measures related to knee osteoarthritis. Principal component analysis was used as a data reduction tool, as well as a preliminary step for further analysis to determine gait pattern differences between the OA and the control groups. These further analyses included statistical hypothesis testing to detect group differences, and discriminant analysis to quantify overall group separation and to establish a hierarchy of discriminatory ability among the gait waveform features. The two groups were separated with a misclassification rate (estimated by cross-validationj of 8%. The discriminatory features of the gait waveforms were, in order of their discriminatory ability: the amplitude of the flexion moment, the range of motion of the flexion angle, the magnitude of the flexion moment during early stance, and the magnitude of the adduction moment during stance. (C) 2006 Elsevier B.V. All rights reserved.