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Guided Test Case Generation for Enhanced ECG Bio-Sensors Functional Verification

机译:引导测试案生成,用于增强的ECG生物传感器功能验证

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Testing and verifying the operation of bio-sensor nodes is essential due to the sensitivity and safety-critical aspects of their applications. Simulation technique is frequently used for this task; however, a proper set of test cases is required in order to carry out the simulation process. This paper focuses on enhancing the verification operations of an ElectroCardioGram (ECG) biomedical sensor node through simulation. It presents a new methodology for guided Test Cases Generation (TCG) of ECG signals from formal design specifications. Event-B invariants are used to specify ECG requirements, and then a new algorithm is used to translate these specifications into proper ECG signal parameters. These parameters are subsequently used to control the required shape of the ECG in order to have a wide range of scenarios. The primary objective of this work is to provide ECG test cases to detect design errors in biomedical algorithms. In addition, it can complement the usage of the limited ECG databases currently available to verify the correct operation of ECG bio-sensors.
机译:由于其应用程序的灵敏度和安全性关键方面,测试和验证生物传感器节点的操作至关重要。仿真技术经常用于此任务;但是,需要进行适当的测试用例,以便执行模拟过程。本文侧重于通过仿真增强心电图(ECG)生物医学传感器节点的验证操作。它提出了一种新的方法论,用于来自正式设计规范的ECG信号的引导测试用例(TCG)。 Event-B不变性用于指定ECG要求,然后使用新的算法将这些规范转换为适当的ECG信号参数。随后使用这些参数来控制ECG所需的形状,以便具有各种场景。这项工作的主要目标是提供ECG测试用例,以检测生物医学算法中的设计误差。此外,它还可以补充当前可用的有限ECG数据库的使用,以验证ECG生物传感器的正确操作。

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