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协同分析在运动分析实验室之间产生一致的结果。

Synergies analysis produces consistent results between motion analysis laboratories.

机构信息

Shriners Hospitals for Children, Salt Lake City, UT, United States; Department of Orthopaedic Surgery, University of Utah, Salt Lake City, UT, United States.

Walter E. & Agnes M. Griffin Motion Analysis Center, Shriners Hospitals for Children, Spokane, WA, United States.

出版信息

Gait Posture. 2021 May;86:139-143. doi: 10.1016/j.gaitpost.2021.03.002. Epub 2021 Mar 4.

Abstract

AIM

The dynamic motor control index during walking (walk-DMC) is a scaled measure of motor control derived from electromyographic analysis of the lower extremity during gait. Walk-DMC has been shown to be related to patient outcomes and there has been an increasing interest from motion analysis centers regarding using this metric in their own practice. However, the methods for computing the index reported in the literature are not consistent. Here we propose a standardized method and investigate if this leads to results that are consistent between laboratories.

METHOD

Comparisons between three sets of typically developing controls contributed by three independent motion analysis centers are made. Comparisons are also made between the proposed and previously published methods. A program script to compute the walk-DMC was used for this study and is made freely available with this manuscript.

RESULTS

Using this script, results are highly consistent between three participating centers. The currently proposed method results in a wider distribution of walk-DMC values than those previously reported.

INTERPRETATION

Using consistent processing methods, synergy measures are equivalent between centers. The major differences between current and published data are attributed to the use of concatenation of several walking trials.

摘要

目的

行走时动态运动控制指数(walk-DMC)是一种从步态下肢肌电图分析得出的运动控制的比例度量。已经证明 walk-DMC 与患者的结果有关,运动分析中心对在其自身实践中使用该指标的兴趣越来越大。然而,文献中报道的计算该指数的方法并不一致。在这里,我们提出了一种标准化的方法,并研究了这是否会导致实验室之间的结果一致。

方法

对三个独立运动分析中心提供的三组典型发育对照组进行了比较。还比较了提出的方法和以前发表的方法。为这项研究使用了一个用于计算 walk-DMC 的程序脚本,并随本文档免费提供。

结果

使用此脚本,三个参与中心之间的结果高度一致。目前提出的方法得出的 walk-DMC 值分布范围比以前报道的要宽。

解释

使用一致的处理方法,协同措施在中心之间是等效的。当前数据与已发表数据之间的主要差异归因于将几个行走试验串联使用。

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