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闭环医疗系统的模型驱动安全分析

Model-Driven Safety Analysis of Closed-Loop Medical Systems.

作者信息

Pajic Miroslav, Mangharam Rahul, Sokolsky Oleg, Arney David, Goldman Julian, Lee Insup

机构信息

Department of Electrical & System Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA USA,

出版信息

IEEE Trans Industr Inform. 2012 Oct 26. doi: 10.1109/TII.2012.2226594.

Abstract

In modern hospitals, patients are treated using a wide array of medical devices that are increasingly interacting with each other over the network, thus offering a perfect example of a cyber-physical system. We study the safety of a medical device system for the physiologic closed-loop control of drug infusion. The main contribution of the paper is the verification approach for the safety properties of closed-loop medical device systems. We demonstrate, using a case study, that the approach can be applied to a system of clinical importance. Our method combines simulation-based analysis of a detailed model of the system that contains continuous patient dynamics with model checking of a more abstract timed automata model. We show that the relationship between the two models preserves the crucial aspect of the timing behavior that ensures the conservativeness of the safety analysis. We also describe system design that can provide open-loop safety under network failure.

摘要

在现代医院中,患者使用各种各样的医疗设备进行治疗,这些设备通过网络相互之间的交互越来越多,从而提供了一个典型的信息物理系统示例。我们研究用于药物输注生理闭环控制的医疗设备系统的安全性。本文的主要贡献是针对闭环医疗设备系统安全特性的验证方法。我们通过一个案例研究证明,该方法可应用于具有临床重要性的系统。我们的方法将对包含连续患者动态的系统详细模型进行基于仿真的分析与对更抽象的定时自动机模型进行模型检查相结合。我们表明,这两个模型之间的关系保留了确保安全分析保守性的定时行为的关键方面。我们还描述了在网络故障情况下可提供开环安全性的系统设计。

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