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Wireless hazardous fall detection and location tracking for medical urgency and residence care applications.

机译:无线危险跌倒检测和位置跟踪,用于医疗紧急情况和居家护理应用。

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摘要

In this thesis, a wireless system for monitoring and identifying people who need special care and medical attention such as elders disabled persons and patents. Fall is one of the most dangerous accidents for these people, which may cause serious physical injury. The wireless system presented in this thesis can detect if a person needs help. A wearable fall detection sensor is presented and demonstrated in this work. When a serious fall is detected, the wireless network that covers the whole building can position that person and send this information to a central server.;A fall detection system employing triaxial accelerometers is analyzed, designed, fabricated and tested. This fall detection system makes use of a simple method mainly based on energy expenditure. This system does not require high performance DSP circuits. A simple microcontroller can be used for data processing. Measurements show this system works very well.;A wireless sensor network used for target positioning and wireless communication. The positioning may be performed based on received signal strength(RSS). This kind of indoor positioning systems usually are not as accurate as positioning systems based on time measurements. However, they are less expensive and are able to provide an acceptable accuracy for this work. Many works on positioning with RSS focus on current devices used in wireless local area networks. If there are no such wireless networks, people have to build such an IEEE802.11 network, which is specially designed for wireless communication other than for positioning. And those network cards are relatively expensive. As a result, for indoor environment where there is no need for such networks, an affordable wireless sensor network is specially designed for indoor positioning. Factors that affect the performance have been presented and analyzed. The performance of the whole system is analyzed based on measurements.;There are four chapters in this thesis. Chapter one gives the background of current fall detection methods and indoor positioning systems. Chapter two explains our fall detection system, including hardware design and the fall detection algorithm. Measurement results for this system are also presented. In chapter three, the architecture of our wireless sensor network will be introduced, including the protocols and the wireless unit. Chapter four talks about the positioning method and performance. Several parameters that can affect the positioning performance are analyzed. Results based on measurements and Monte-Carlo method are also shown there.
机译:本文提出了一种无线系统,用于监视和识别需要特殊护理和医疗的人员,例如老年人和残疾人。坠落对于这些人来说是最危险的事故之一,可能导致严重的人身伤害。本文提出的无线系统可以检测一个人是否需要帮助。本文介绍并演示了一种可穿戴的跌倒检测传感器。当检测到严重跌倒时,覆盖整个建筑物的无线网络可以定位该人并将该信息发送到中央服务器。;分析,设计,制造和测试了采用三轴加速度计的跌倒检测系统。该跌倒检测系统主要利用基于能量消耗的简单方法。该系统不需要高性能的DSP电路。一个简单的微控制器可以用于数据处理。测量显示该系统运行良好。;用于目标定位和无线通信的无线传感器网络。可以基于接收信号强度(RSS)来执行定位。这种室内定位系统通常不如基于时间测量的定位系统准确。但是,它们较便宜,并且能够为这项工作提供可接受的准确性。使用RSS进行定位的许多工作都集中在无线局域网中使用的当前设备上。如果没有这样的无线网络,人们就必须建立这样的IEEE802.11网络,该网络是专门为无线通信而不是定位而设计的。而且那些网卡相对昂贵。结果,对于不需要这种网络的室内环境,可负担得起的无线传感器网络是专门为室内定位而设计的。已经介绍并分析了影响性能的因素。基于实测数据分析了整个系统的性能。本文共分四章。第一章介绍了当前跌倒检测方法和室内定位系统的背景。第二章介绍了跌倒检测系统,包括硬件设计和跌倒检测算法。还介绍了该系统的测量结果。第三章将介绍我们的无线传感器网络的体系结构,包括协议和无线单元。第四章讨论了定位方法和性能。分析了可能影响定位性能的几个参数。此处还显示了基于测量和蒙特卡洛方法的结果。

著录项

  • 作者

    Zhang, Pengyan.;

  • 作者单位

    Ecole Polytechnique, Montreal (Canada).;

  • 授予单位 Ecole Polytechnique, Montreal (Canada).;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.Sc.A.
  • 年度 2009
  • 页码 108 p.
  • 总页数 108
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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