Elliott M T, Petra I, Ma X-H, Brett P N, Holding D J
Clinical Bimedical Engineering Research Group, School of Engineering and Applied Science, Aston University, Birmingham, UK.
Proc Inst Mech Eng H. 2009 Oct;223(7):903-11. doi: 10.1243/09544119JEIM509.
This paper describes an experiment that extends the distributive sensing approach to identify the three-dimensional location of an object in constant motion. Distributive sensing has previously been successful in the identification of size and location of statically placed objects. Here, a novel system is developed to measure balance or sway in patients. The experimental set-up consisted of a pendulum structure positioned on a supported steel plate. Three low-cost deflection sensors were positioned under the plate with the resulting signals used as inputs to a neural network implemented on a field-programmable gate array. The results show that the embedded system can accurately track the pendulum position in real time with a mean tracking error of around 6 per cent in all three dimensions. This evidence indicates that the technique is sufficiently sensitive and could be implemented in a pragmatic configuration for discriminating between balance and sway.
本文描述了一项实验,该实验扩展了分布式传感方法,以识别处于匀速运动中的物体的三维位置。分布式传感此前已成功用于识别静态放置物体的尺寸和位置。在此,开发了一种新颖的系统来测量患者的平衡或摇摆。实验装置由一个位于支撑钢板上的摆结构组成。三个低成本的挠度传感器放置在钢板下方,所得信号用作现场可编程门阵列上实现的神经网络的输入。结果表明,该嵌入式系统能够实时准确跟踪摆的位置,在所有三个维度上的平均跟踪误差约为6%。这一证据表明该技术足够灵敏,并且可以以实用的配置来实现,以区分平衡和摇摆。