用于健康监控的容错和可扩展的基于物联网的架构

Tuan Anh Nguyen Gia, A. Rahmani, Tomi Westerlund, P. Liljeberg, H. Tenhunen
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引用次数: 62

摘要

本文提出了一种新的基于物联网的体系结构,支持医疗保健的可扩展性和容错性。无线系统构建在6LoWPAN节能通信基础设施之上,最大限度地提高了运行时间。通过节点间的备份路由和高级服务机制实现容错,在系统节点间连接失败时保持连通性。该容错方法涵盖了汇聚节点硬件故障、节点接收数据速率过高导致的业务瓶颈等多种故障情况。提出了一种扩展单网关医疗传感节点数量的方法。提出了一个完整的系统架构,提供了大量的特征,从生物信号采集,如心电图(ECG),脑电图(EEG)和肌电图(EMG)到这些收集到的生物信号的图形波形的表示,用于远程实时监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault tolerant and scalable IoT-based architecture for health monitoring
A novel Internet of Things based architecture supporting scalability and fault tolerance for healthcare is presented in this paper. The wireless system is constructed on top of 6LoWPAN energy efficient communication infrastructure to maximize the operation time. Fault tolerance is achieved via backup routing between nodes and advanced service mechanisms to maintain connectivity in case of failing connections between system nodes. The presented fault tolerance approach covers many fault situations such as malfunction of sink node hardware and traffic bottleneck at a node due to a high receiving data rate. A method for extending the number of medical sensing nodes at a single gateway is presented. A complete system architecture providing a quantity of features from bio-signal acquisition such as Electrocardiogram (ECG), Electroencephalography (EEG), and Electromyography (EMG) to the representation of graphical waveforms of these gathered bio-signals for remote real-time monitoring is proposed.
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