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垂直地面反作用力分解算法与运动捕捉系统之间时空步态参数的一致性

Agreement of spatio-temporal gait parameters between a vertical ground reaction force decomposition algorithm and a motion capture system.

作者信息

Veilleux Louis-Nicolas, Raison Maxime, Rauch Frank, Robert Maxime, Ballaz Laurent

机构信息

Centre de Réadaptation Marie Enfant, Research Center, Sainte-Justine University Hospital, Montréal, Québec, Canada; Shriners Hospital for Children and Department of Pediatrics, McGill University, Montréal, Québec, Canada.

Centre de Réadaptation Marie Enfant, Research Center, Sainte-Justine University Hospital, Montréal, Québec, Canada; Rehabilitation Engineering Chair Applied to Pediatrics (RECAP), École Polytechnique de Montréal & Sainte-Justine University Hospital, Montréal, Québec, Canada.

出版信息

Gait Posture. 2016 Jan;43:257-64. doi: 10.1016/j.gaitpost.2015.10.007. Epub 2015 Nov 6.

Abstract

INTRODUCTION

A ground reaction force decomposition algorithm based on large force platform measurements has recently been developed to analyze ground reaction forces under each foot during the double support phase of gait. However, its accuracy for the measurement of the spatiotemporal gait parameters remains to be established.

OBJECTIVE

The aim of the present study was to establish the agreement between the spatiotemporal gait parameters obtained using (1) a walkway (composed of six large force platforms) and the newly developed algorithm, and (2) an optoelectronic motion capture system.

METHODS

Twenty healthy children and adolescents (age range: 6-17 years) and 19 healthy adults (age range: 19-51 years) participated in this study. They were asked to walk at their preferred speed and at a speed that was faster than the preferred one. Each participant performed three blocks of three trials in each of the two walking speed conditions.

RESULTS

The spatiotemporal gait parameters measured with the algorithm did not differ by more than 2.5% from those obtained with the motion capture system. The limits of agreement represented between 3% and 8% of the average spatiotemporal gait parameters. Repeatability of the algorithm was slightly higher than that of the motion capture system as the coefficient of variations ranged from 2.5% to 6%, and from 1.5% to 3.5% for the algorithm and the motion capture system, respectively.

CONCLUSION

The proposed algorithm provides valid and repeatable spatiotemporal gait parameter measurements and offers a promising tool for clinical gait analysis. Further studies are warranted to test the algorithm in people with impaired gait.

摘要

引言

最近开发了一种基于大型测力平台测量的地面反作用力分解算法,用于分析步态双支撑阶段每只脚下的地面反作用力。然而,其在测量时空步态参数方面的准确性仍有待确定。

目的

本研究的目的是确定使用(1)由六个大型测力平台组成的走道和新开发的算法,以及(2)光电运动捕捉系统获得的时空步态参数之间的一致性。

方法

20名健康儿童和青少年(年龄范围:6 - 17岁)和19名健康成年人(年龄范围:19 - 51岁)参与了本研究。他们被要求以自己喜欢的速度以及比喜欢的速度更快的速度行走。在两种行走速度条件下,每个参与者在每个条件下进行三个试验块,每个试验块包含三次试验。

结果

用该算法测量的时空步态参数与用运动捕捉系统获得的参数相差不超过2.5%。一致性界限占平均时空步态参数的3%至8%。该算法的重复性略高于运动捕捉系统,算法的变异系数范围为2.5%至6%,运动捕捉系统的变异系数范围为1.5%至3.5%。

结论

所提出的算法提供了有效且可重复的时空步态参数测量,并为临床步态分析提供了一个有前景的工具。有必要进行进一步的研究,以测试该算法在步态受损人群中的效果。

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