用于实时同步生理流的云框架,以支持农村和远程重症监护

R. Kamaleswaran, A. Thommandram, Qi Zhou, J. M. Eklund, Yun Cao, W. Wang, C. McGregor
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引用次数: 5

摘要

我们提出了一种传输和处理实时跨洲医疗数据流的方法。我们应用现有网络技术的基本原理,通过开放网络创建从远程医院到Artemis云的安全隧道。我们在实时事件流处理器中捕获并存储传入的1Hz数据流,以允许在线实时监控患者状态。本文的贡献通过合并远程监控中心扩展了重症监护即服务范式。结果证明了该系统支持实时监控的可行性。但是,需要对现有协议进行重大优化,以考虑网络吞吐量和可用性的可变性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud framework for real-time synchronous physiological streams to support rural and remote Critical Care
We present a method for transmission and processing of real-time trans-continental medical data streams. We apply fundamentals of existing network technologies to create a secure tunnel from a remote hospital through an open-network to the Artemis Cloud. We capture and store incoming 1Hz data stream in our real-time event stream processor to allow for online real-time monitoring of the patient status. The contributions of this paper extend the Critical Care as a Service paradigm by incorporating remote monitoring centers. The results establish feasibility of the system to support real-time monitoring. However, existing protocols were required significant optimization to account for variability in throughput and availability of the network.
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