A wireless sensor system for motion analysis of Parkinson's disease patients

Geoffrey Lo, A. Suresh, L. Stocco, S. González-Valenzuela, Victor C. M. Leung
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引用次数: 25

Abstract

We describe the initial design, implementation and testing of a wearable sensor system employed for human motion analysis. Our proposed system is part of an ongoing investigation aimed at efficiently timing the self-administration of prescription drugs in Parkinson's disease patients by using wireless sensors to capture distinctive motion patterns that indicate the onset of dyskinesia lapses as the prescription drug wears off. Our prototype incorporates three pairs of accelerometer/gyroscope sensors, each connected to a wireless node equipped with an IEEE 802.15.4 radio. Sensor data are transmitted to a computer that is employed for visualization. We describe practical experience encountered during the initial development of our prototype, and outline the potential battery and bandwidth conservation benefits introduced by employing popular signal processing methods.
一种用于帕金森病患者运动分析的无线传感器系统
我们描述了用于人体运动分析的可穿戴传感器系统的初始设计,实现和测试。我们提出的系统是一项正在进行的研究的一部分,该研究旨在通过使用无线传感器捕捉独特的运动模式,从而有效地确定帕金森病患者自我给药的时间,这些运动模式表明,随着处方药药效逐渐消失,运动障碍的发作会消失。我们的原型包含三对加速度计/陀螺仪传感器,每对传感器都连接到一个配备IEEE 802.15.4无线电的无线节点。传感器数据被传输到用于可视化的计算机。我们描述了在原型初始开发过程中遇到的实际经验,并概述了采用流行的信号处理方法所带来的潜在电池和带宽节约效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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