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Smart wearable system for safety-related medical IoT application: case of epileptic patient working in industrial environment

机译:安全相关医疗物联网应用的智能可穿戴系统:癫痫患者在工业环境中工作

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摘要

Medical/Industrial IoT is being implemented currently in several domains due to the autonomy it offers to patients, as well as the productivity efficiency that it could enhance. Additionally, the ease of monitoring of the patient, and of action taking in case of sudden medical problems has highlighted the use of such system. The IoT application presented in this paper will target epileptic patients working in an industrial environment. A smart wearable jacket will capture continuously the vital signs of the patient. In case of problem detection, some control signals will be sent to nearby machines to disable them and to alert the medical entities in the working environment. As industrial environments are often safety-critical, the proposed approach is based on basic safety and reliability concepts, which will be enhanced in future works. For this aim, a set of various sensors is used in this work. Although none of the sensors are redundant, all of them give complementary data about the patient health and will insert diversity to the system. A further safety issue consists on using a safety-related processor architecture for processing the sensor data and providing safe outputs.
机译:由于对患者提供的自主权以及它可以增强的生产率效率,目前正在在几个域中实施医疗/工业物权。另外,在突然医疗问题的情况下,患者的易于监测和采取的行动,突出了这种系统的使用。本文提出的物联网申请将针对在工业环境中工作的癫痫患者。智能可穿戴夹克将连续捕获患者的重要症状。在问题检测的情况下,一些控制信号将被发送到附近的机器以禁用它们并警告工作环境中的医疗实体。由于工业环境往往是安全关键的,所提出的方法是基于基本的安全性和可靠性概念,将来会在未来的作品中得到增强。为此目的,在这项工作中使用了一组各种传感器。虽然没有一个传感器是多余的,但所有这些都提供有关患者健康的互补数据,并将将多样性插入系统。进一步的安全问题包括使用安全相关的处理器架构来处理传感器数据并提供安全输出。

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