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利用单个惯性传感器识别跑步步态的步幅、步和站立时间。

The use of a single inertial sensor to identify stride, step, and stance durations of running gait.

机构信息

University of the Sunshine Coast, Queensland, Australia.

出版信息

J Sci Med Sport. 2010 Mar;13(2):270-3. doi: 10.1016/j.jsams.2009.01.005. Epub 2009 Jul 1.

Abstract

Current developments in inertial sensor technology could enable the measurement of running gait outside of the traditional laboratory environment. The purpose of this research was to determine the level of agreement between an inertial sensor and infrared camera based estimates of stride, step, and stance durations across a range of running speeds. An inertial sensor was placed on the sacrum of 10 elite national standard runners, and the stride, step, and stance of running gait were compared. A total of 504 samples were collected and the running velocities stratified into three equal groups of low (10-12 km/h), medium (13-15 km/h), and high (16-19 km/h). A single inertial sensor was found to be suitable for identifying stride duration with Bland-Altman limits of agreement of 95%. The stride data showed agreement at less than 0.02s for most limits. Agreement for step showed five of the eight upper and lower limits below 0.02s. The largest differences between both capture methods were for stance. An average bias of 0.0008s was found and standard error ranged between 0.0004s and 0.0009s across all variables. The results from this research found that inertial sensors are suitable to measure stride, step, and stance duration, and provide the opportunity to measure running gait outside of the traditional laboratory.

摘要

惯性传感器技术的最新发展使得在传统实验室环境之外测量跑步步态成为可能。本研究旨在确定在一系列跑步速度下,惯性传感器和基于红外相机的估计值在步幅、步长和站立时间方面的一致性程度。将一个惯性传感器放置在 10 名精英国家级跑步运动员的骶骨上,比较跑步步态的步幅、步长和站立时间。共采集了 504 个样本,并将跑步速度分为三组,低(10-12km/h)、中(13-15km/h)和高(16-19km/h)。研究发现,单个惯性传感器适合识别步幅时间,Bland-Altman 协议限的一致性为 95%。对于大多数限制,步幅数据的一致性小于 0.02s。对于步长,有 8 个上下限中的 5 个在 0.02s 以下。两种捕获方法之间最大的差异是站立时间。发现平均偏差为 0.0008s,标准误差在所有变量之间在 0.0004s 到 0.0009s 之间。本研究结果发现,惯性传感器适合测量步幅、步长和站立时间,为在传统实验室之外测量跑步步态提供了机会。

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