Real-time and secure wireless health monitoring.

Real-time and secure wireless health monitoring.
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DOI:
10.1155/2008/135808
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发表时间:
2008
影响因子:
4.4
通讯作者:
Challa N
Challa N
中科院分区:
其他
文献类型:
--
作者:
Dağtaş S;Pekhteryev G;Sahinoğlu Z;Cam H;Challa N

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提出了一种基于ZigBee等无线网络的无线健康监测系统框架。生命信号的收集和处理使用三层架构。第一阶段是携带在身体上的移动设备,它运行许多有线和无线探针。该装置还可以执行一些基本的处理,如心率和致命故障检测。在第二阶段,由本地服务器使用移动设备连续传输的原始数据执行进一步处理。原始数据也存储在此服务器上。然后,处理后的数据以及分析结果被传输到服务提供商中心进行诊断审查和存储。提出的框架的主要优点是:(1)能够在身体传感器网络(BSN)内无线检测信号,(2)通过ZigBee网络节点进行低功耗和可靠的数据传输,(3)通过BSN安全传输医疗数据,(4)通过无线网络进行医疗数据传输的有效信道分配,以及(5)使用自适应架构优化数据分析,最大限度地利用每个平台的处理和计算能力。
We present a framework for a wireless health monitoring system using wireless networks such as ZigBee. Vital signals are collected and processed using a 3-tiered architecture. The first stage is the mobile device carried on the body that runs a number of wired and wireless probes. This device is also designed to perform some basic processing such as the heart rate and fatal failure detection. At the second stage, further processing is performed by a local server using the raw data transmitted by the mobile device continuously. The raw data is also stored at this server. The processed data as well as the analysis results are then transmitted to the service provider center for diagnostic reviews as well as storage. The main advantages of the proposed framework are (1) the ability to detect signals wirelessly within a body sensor network (BSN), (2) low-power and reliable data transmission through ZigBee network nodes, (3) secure transmission of medical data over BSN, (4) efficient channel allocation for medical data transmission over wireless networks, and (5) optimized analysis of data using an adaptive architecture that maximizes the utility of processing and computational capacity at each platform.