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首页> 外文期刊>Journal of Biomechanics >Estimation of minimum ground clearance (MGC) using body-worn inertial sensors.
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Estimation of minimum ground clearance (MGC) using body-worn inertial sensors.

机译：使用体磨损惯性传感器估计最小接地间隙（MGC）。

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摘要

Objective assessment of balance and mobility in elderly populations using body-worn sensors has recently become a prevalent theme in falls-related research. Recent research by the authors identified mean absolute-valued vertical angular velocity measured using shank mounted inertial sensors during a timed-up-and-go test as having a strong association with falls history in a group of elderly adults. This study aimed to investigate the clinical relevance of this parameter by exploring the relationship between it and minimum ground clearance (MGC) measured with an optical motion capture system. MGC is an important variable when considering trip-related falls risk. This paper also presents a method of estimating properties of MGC during walking, across a range of speeds and gait patterns, using body-worn inertial sensors. We found that mean MGC and coefficient of variation (CV) MGC are correlated with mean absolute-valued vertical angular velocity and acceleration as measured by shank or foot mounted inertial sensors. Regression models generated using inertial sensor derived variables were used to robustly estimate the mean MGC and CV MGC measured by an optical marker-tracking system. Foot-mounted sensors were found to yield slightly better results than sensors on the shank. Different walking speeds and gait patterns were not found to influence the accuracy of the models. We conclude that these findings have the potential to evaluate a walking trial using body-worn inertial sensors, which could then be used to identify individuals with increased risk of unprovoked collisions with the ground during locomotion.
机译：客观评估使用身体磨损传感器的老年人群体的平衡和流动性最近成为与秋季相关研究的普遍主题。作者最近的研究鉴定了在定时上升和去试验期间使用柄部惯性传感器测量的平均值绝对值垂直角速度，与一群老年人的堕落历史有着强烈的联系。本研究旨在通过使用光学运动捕获系统测量的IT和最小接地间隙（MGC）的关系来研究该参数的临床相关性。 MGC在考虑与旅行相关的跌倒风险时是一个重要的变量。本文还介绍了使用体磨损惯性传感器在一系列速度和步态模式期间估计MGC的特性的方法。我们发现，平均MGC和变异系数（CV）MGC与通过柄或脚安装惯性传感器测量的平均绝对值垂直角速度和加速度相关。使用惯性传感器导出的变量产生的回归模型用于鲁棒地估计光学标记跟踪系统测量的平均MGC和CV MGC。发现脚踏的传感器比柄上的传感器产生略微更好的结果。没有发现不同的步行速度和步态模式来影响模型的准确性。我们得出结论，这些发现有可能使用身体磨损的惯性传感器来评估行走试验，然后可以用于识别个人在运动过程中与地面碰撞的风险增加。

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