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Lifetime estimation of wireless body area sensor network for patient health monitoring.

机译:无线人体区域传感器网络的生命周期估算,用于患者健康监测。

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摘要

Wireless Body Area Sensor Networks (WBASN) is an emerging technology which utilizes wireless sensors to implement real-time wearable health monitoring of patients to enhance independent living. These sensors can be worn externally to monitor multiple bio-parameters (such as blood oxygen saturation (SpO2), blood pressure and heart activity) of multiple patients at a central location in the hospital.;In health monitoring, the loss of critical or emergency information is a serious issue so there is a concern for quality of service which needs to be addressed. It is important to have an estimate of the time the first node will fail in order to replace or recharge the battery. A common type of failure happens when a node runs out of energy and shuts down.;In this work, Monte Carlo simulation is used to determine the lifetime of WBASN. The lifetime of the WBASN is defined in this work as the duration of time until the first sensor failure due to battery depletion. A parametric model of the health care network is created with sets of random input distributions. Probabilistic analysis is used to determine the timing and distributions of nodes' failures in the health monitoring network.
机译:无线人体区域传感器网络(WBASN)是一项新兴技术,利用无线传感器对患者进行实时可穿戴健康监测,以增强独立生活。这些传感器可以在外部佩戴以监测医院中心位置的多个患者的多个生物参数(例如血氧饱和度(SpO2),血压和心脏活动);在健康监测中,关键或紧急事件的丢失信息是一个严重的问题,因此需要解决服务质量问题。估计第一个节点发生故障的时间很重要,以便更换电池或为电池充电。当节点的能量耗尽并关闭时,会发生常见的故障类型。在这项工作中,使用蒙特卡洛模拟来确定WBASN的寿命。 WBASN的寿命在这项工作中定义为直到由于电池耗尽而导致第一个传感器出现故障为止的时间。使用一组随机输入分布创建医疗保健网络的参数模型。概率分析用于确定运行状况监视网络中节点故障的时间和分布。

著录项

  • 作者

    Agyei-Ntim, Frank.;

  • 作者单位

    University of Denver.;

  • 授予单位 University of Denver.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.S.
  • 年度 2009
  • 页码 92 p.
  • 总页数 92
  • 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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