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使用无线网络进行心电图传输的统计性能评估。

Statistical performance evaluation of ECG transmission using wireless networks.

作者信息

Shakhatreh Walid, Gharaibeh Khaled, Al-Zaben Awad

机构信息

Electronics Engineering Department, Hijjawi College for Engineering Technology, Yarmouk University, Irbid, Jordan.

出版信息

J Med Eng Technol. 2013 Jul;37(5):348-54. doi: 10.3109/03091902.2013.796012. Epub 2013 Jun 19.

DOI:10.3109/03091902.2013.796012
PMID:23777301
Abstract

This paper presents simulation of the transmission of biomedical signals (using ECG signal as an example) over wireless networks. Investigation of the effect of channel impairments including SNR, pathloss exponent, path delay and network impairments such as packet loss probability; on the diagnosability of the received ECG signal are presented. The ECG signal is transmitted through a wireless network system composed of two communication protocols; an 802.15.4- ZigBee protocol and an 802.11b protocol. The performance of the transmission is evaluated using higher order statistics parameters such as kurtosis and Negative Entropy in addition to the common techniques such as the PRD, RMS and Cross Correlation.

摘要

本文介绍了生物医学信号(以心电图信号为例)在无线网络上的传输模拟。研究了包括信噪比、路径损耗指数、路径延迟等信道损伤以及诸如丢包概率等网络损伤对接收心电图信号可诊断性的影响。心电图信号通过由两种通信协议组成的无线网络系统进行传输;一种是802.15.4 - ZigBee协议,另一种是802.11b协议。除了使用诸如百分比根均方误差(PRD)、均方根(RMS)和互相关等常用技术外,还使用诸如峰度和负熵等高阶统计参数来评估传输性能。

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