采用IEEE802.15.4的无线生物医学传感器网络

Shao-Yen Tseng, Chung-Han Tsai, Yu-Sheng Lai, W. Fang
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引用次数: 12

摘要

无线体域网络(WBAN)和无线个人区域网络(WPAN)的进步导致了无线医疗和保健设备中可行应用的增加。开发生物医学传感器,如脑电图(EEG)和心电图(ECG)传感器通常需要许多连接导线,这可能会引入噪音并增加患者的不适。本文针对无线脑电和心电传感器网络的时间同步、带宽和功率约束等问题,提出了一种无线脑电和心电传感器网络的系统设计与实现。我们的无线传感器网络包括三个传输节点,总共有四个EEG通道和一个ECG通道。解决了脑电图和心电信号处理的数据吞吐量要求以及基站接收数据的时间同步等问题。本文通过关注模拟前端系统的芯片尺寸和低功耗,考虑了我们提出的系统在片上系统(SOC)上的可能实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A wireless biomedical sensor network using IEEE802.15.4
The advancements of wireless body area networks (WBAN) and wireless personal area networks (WPAN) has led to a recent increase of viable applications in wireless medical and healthcare devices. Developing biomedical sensors such as electroencephalograph (EEG) and electrocardiogram (ECG) sensors often require numerous connecting wires which may introduce noise and increase patient discomfort. In this paper we propose a system design and realization of a wireless EEG and ECG sensor network focusing on issues such as time synchronization, bandwidth, and power constraints constituent of WBANs. Our WSN comprises three transmitting nodes for a total of four EEG channels and an ECG channel. We solve problems such as data throughput requirements for EEG and ECG signal processing as well as time synchronization of received data at the base station. This paper keeps in consideration the possible implementation of our proposed system onto a system-on-chip (SOC) by putting focus on the chip size and low power consumption of the analog-front-end system.
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