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An inertial sensor based balance and gait analysis system

机译:基于惯性传感器的平衡和步态分析系统

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摘要

Time-up and Go Test (TUGT) is a common clinical motility test for the elderly. Currently it is measured manually, which is human resource consuming, less accurate, and limited in capability of measuring sophisticated parameters. In this paper, we propose a system consisting of three inertial-sensor-based measuring components, a remote controller, and an analysis software for automatic balance and gait analysis in TUGT. This system is designed to be of easy use with the software automatically measuring the time intervals of stand-up time, sit-down time, and the total time of test. In addition, the system can also obtain the gait information of stride time, swing time, and stance time. To validate the system, we compared the performance with that obtained from stopwatch using videos as the gold standard. The results indicate that the system not only provides a convenient way of measurement but also achieves higher accurate and reliable measurement results than using stopwatch. We use this system to compare the Alzheimer's disease patients (ADs) with health controllers (HCs). The results show that the ADs need longer stand-up time, sit-down time, and total time while taking the TUGT compared to the HCs. The stride time, swing time, and stance time are also longer than the HCs'. Such a friendly system provides high potential in tracking long-time patterns for diagnosis.
机译:Time-up and Go测试(TUGT)是老年人的常见临床运动测试。当前,它是手动测量的,这是人力资源消耗,准确性较低并且测量复杂参数的能力受限。在本文中,我们提出了一个由三个基于惯性传感器的测量组件,一个遥控器和一个用于TUGT中自动平衡和步态分析的分析软件组成的系统。该系统的设计易于使用,该软件可以自动测量站立时间,坐下时间和总测试时间的时间间隔。另外,系统还可以获得步幅时间,挥杆时间和站立时间的步态信息。为了验证该系统,我们将性能与使用视频作为黄金标准的秒表获得的性能进行了比较。结果表明,与使用秒表相比,该系统不仅提供了一种便捷的测量方法,而且还获得了更高的准确度和可靠性。我们使用该系统将阿尔茨海默氏病患者(AD)与健康控制者(HC)进行比较。结果表明,与HC相比,使用TUGT时,AD需要更长的站立时间,坐下时间和总时间。步伐时间,摆动时间和站立时间也比HC长。这种友好的系统在跟踪长期诊断模式方面具有很大的潜力。

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