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使用基于多三轴与单三轴加速度计的系统进行步数检测。

Step detection using multi- versus single tri-axial accelerometer-based systems.

作者信息

Fortune E, Lugade V A, Amin S, Kaufman K R

机构信息

Motion Analysis Laboratory, Division of Orthopedic Research, Charlton North L-110L, Mayo Clinic, Rochester, MN 55905, USA.

出版信息

Physiol Meas. 2015 Dec;36(12):2519-35. doi: 10.1088/0967-3334/36/12/2519. Epub 2015 Nov 23.

Abstract

Multiple sensors are often considered necessary for increased step count accuracy. However, subject adherence to device-wear increases using a minimal number of activity monitors (AMs). The study aims were to determine and compare the validity of using multiple AMs versus a single AM to detect steps by comparison to video using a modification of an algorithm previously developed for a four-accelerometer AM system capable, unlike other algorithms, of accurate step detection for gait velocities as low as 0.1 m s(-1). Twelve healthy adults wore ankle, thigh and waist AMs while performing walking/jogging trials at gait velocities from 0.1-4.8 m s(-1) and a simulated free-living dynamic activities protocol. Nineteen older adults wore ankle and waist AMs while walking at velocities from 0.5-2.0 m s(-1). As little as one AM (thigh or waist) accurately detected steps for velocities  >0.5 m s(-1). A single ankle AM accurately detected steps for velocities  ⩾0.1 m s(-1). Only the thigh AM could not accurately detect steps during the dynamic activities. Only the thigh-ankle combination or single waist AM could accurately distinguish between walking and jogging steps. These laboratory-based results suggest that the presented algorithm can accurately detect steps in a free-living environment using only one ankle or waist AM.

摘要

人们通常认为,使用多个传感器有助于提高步数计数的准确性。然而,使用最少数量的活动监测器(AM)可提高受试者对设备佩戴的依从性。本研究的目的是通过与视频对比,确定并比较使用多个AM与单个AM检测步数的有效性,所采用的算法是对先前为四加速度计AM系统开发的算法进行修改,与其他算法不同,该算法能够精确检测低至0.1米/秒的步态速度下的步数。12名健康成年人在进行速度为0.1 - 4.8米/秒的步行/慢跑试验以及模拟的自由生活动态活动方案时,佩戴了脚踝、大腿和腰部的AM。19名老年人在以0.5 - 2.0米/秒的速度行走时,佩戴了脚踝和腰部的AM。对于速度大于0.5米/秒的情况,仅一个AM(大腿或腰部)就能准确检测步数。单个脚踝AM能准确检测速度大于或等于0.1米/秒时的步数。在动态活动期间,只有大腿AM无法准确检测步数。只有大腿 - 脚踝组合或单个腰部AM能够准确区分步行和慢跑步数。这些基于实验室的结果表明,所提出的算法仅使用一个脚踝或腰部AM就能在自由生活环境中准确检测步数。

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