Model-Driven Safety Analysis of Closed-Loop Medical Systems

IF 11.7 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Informatics Pub Date : 2012-10-26 DOI:10.1109/TII.2012.2226594
Miroslav Pajic;Rahul Mangharam;Oleg Sokolsky;David Arney;Julian Goldman;Insup Lee
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引用次数: 111

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.
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闭环医疗系统的模型驱动安全分析
在现代医院中,患者使用各种各样的医疗设备进行治疗,这些设备越来越多地通过网络相互交互,从而提供了网络物理系统的完美例子。我们研究了用于药物输注的生理闭环控制的医疗器械系统的安全性。本文的主要贡献是闭环医疗器械系统安全性能的验证方法。我们通过案例研究证明,该方法可以应用于具有临床重要性的系统。我们的方法将包含连续患者动力学的系统详细模型的基于模拟的分析与更抽象的时间自动机模型的模型检查相结合。我们表明,这两个模型之间的关系保留了时间行为的关键方面,从而确保了安全分析的保守性。我们还描述了在网络故障下可以提供开环安全的系统设计。
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来源期刊
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics 工程技术-工程:工业
CiteScore
24.10
自引率
8.90%
发文量
1202
审稿时长
5.1 months
期刊介绍: The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.
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