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Runtime Verification of Pacemaker Functionality Using Hierarchical Fuzzy Colored Petri-nets

机译:使用分层模糊彩色Petri-网的起搏器功能的运行时间验证

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摘要

Today, implanted medical devices are increasingly used for many patients and in case of diverse health problems. However, several runtime problems and errors are reported by the relevant organizations, even resulting in patient death. One of those devices is the pacemaker. The pacemaker is a device helping the patient to regulate the heartbeat by connecting to the cardiac vessels. This device is directed by its software, so any failure in this software causes a serious malfunction. Therefore, this study aims to a better way to monitor the device's software behavior to decrease the failure risk. Accordingly, we supervise the runtime function and status of the software. The software verification means examining limitations and needs of the system users by the system running software. In this paper, a method to verify the pacemaker software, based on the fuzzy function of the device, is presented. So, the function limitations of the device are identified and presented as fuzzy rules and then the device is verified based on the hierarchical Fuzzy Colored Petri-net (FCPN), which is formed considering the software limits. Regarding the experiences of using: 1) Fuzzy Petri-nets (FPN) to verify insulin pumps, 2) Colored Petri-nets (CPN) to verify the pacemaker and 3) To verify the pacemaker by a software agent with Petri-network based knowledge, which we gained during the previous studies, the runtime behavior of the pacemaker software is examined by HFCPN, in this paper. This is considered a developing step compared to the earlier work. HFCPN in this paper, compared to the FPN and CPN used in our previous studies reduces the complexity. By presenting the Petri-net (PN) in a hierarchical form, the verification runtime, decreased as 90.61% compared to the verification runtime in the earlier work. Since we need an inference engine in the runtime verification, we used the HFCPN to enhance the performance of the inference engine.
机译:如今,植入的医疗器械越来越多地用于许多患者,而且在有多种健康问题的情况下。然而,相关组织报告了几个运行时问题和错误,即使导致患者死亡。其中一个设备是起搏器。起搏器是一种帮助患者通过连接到心脏容器来调节心跳的设备。此设备由其软件引导,因此此软件中的任何故障都会导致严重故障。因此,本研究旨在更好地监控设备的软件行为以降低故障风险。因此,我们监督软件的运行时功能和状态。软件验证意味着通过系统运行软件检查系统用户的限制和需求。本文介绍了一种基于装置的模糊功能来验证起搏器软件的方法。因此,识别并呈现设备的功能限制作为模糊规则,然后根据考虑软件限制而形成的层级模糊彩色Petri-Net(FCPN)来验证该设备。关于使用:1)模糊Petri-net(FPN)来验证胰岛素泵,2)彩色Petri-net(CPN)验证起搏器和3)以通过具有Petri-Network的知识的软件代理验证起搏器我们在先前的研究中获得了,在本文中,HFCPN检查了起搏器软件的运行时行为。与早期的工作相比,这被认为是一个发展步骤。 HFCPN在本文中,与我们以前的研究中使用的FPN和CPN相比降低了复杂性。通过在分层形式中呈现Petri-Net(PN),与早期工作中的验证运行时间相比,验证运行时间减少为90.61%。由于我们需要在运行时验证中的推理引擎,因此我们使用HFCPN来增强推理引擎的性能。

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