Collaborative Remote Patient Monitoring System Using IEEE 802.15.4 Wireless Body Area Networks

S. Rajalakshmi, K. V. Madhav, R. Abhishek, Yedavalli Venkata Raghava Rao
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Abstract

: In IEEE 802.15.4 Wireless Body Area Networks, the existing remote patient monitoring rarely address the joint issues of power consumption, reliability and mobility. Generally, there is a tradeoff between reliability and power consumption since, increasing the reliability may result in increased power consumption. Moreover, when the patient moves from one location to another, it may affect the accuracy of results and leads to increased delay, due to poor channel conditions. To solve the identified problems, in this paper, we propose a Collaborative Remote Patient Monitoring System using IEEE 802.15.4 Wireless Body Area Networks. The proposed architecture consists of clusters of local sensors situated on various parts of the body. Each cluster head communicates with a wireless local gateway (WLG) which lies within the patient’s premises. The WLG in turn communicates with a remote hospital gateway (HG) such that the collected data from WLG is transmitted to the corresponding destination in the HG. The HG applies fuzzy logic decision model based on the input variables patient age, heartbeat, body temperature, percentage of the blood oxygen saturation and blood pressure and determines the criticality condition of patient. By simulation results, we show that the proposed module provides accurate estimation of patient condition .
使用IEEE 802.15.4无线体域网络的协作远程病人监护系统
在IEEE 802.15.4无线体域网络中,现有的远程患者监护很少解决功耗、可靠性和移动性的联合问题。通常,在可靠性和功耗之间存在权衡,因为提高可靠性可能会导致功耗增加。此外,当患者从一个位置移动到另一个位置时,由于通道条件差,可能会影响结果的准确性并导致延迟增加。为了解决上述问题,本文提出了一种基于IEEE 802.15.4无线体域网络的协作式远程患者监护系统。所提出的架构由位于身体不同部位的局部传感器集群组成。每个簇头与位于患者房内的无线本地网关(WLG)通信。WLG再与远程医院网关(remote hospital gateway, HG)通信,将WLG采集的数据传输到远程医院网关中相应的目的地。HG根据患者的年龄、心跳、体温、血氧饱和度百分比和血压等输入变量,应用模糊逻辑决策模型,确定患者的危重情况。仿真结果表明,该模块能够准确地估计患者的病情。
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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