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Wireless high-frequency NLOS monitoring system for heart disease combined with hospital and home

机译:无线高频NLOS监测系统,用于治疗医院和家庭

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Heart disease is one of the serious public health problems in the world at present. According to the research, the mortality and disability rates of cardiovascular diseases are the highest in the world. In this paper, we introduce wireless radio-frequency technique for health monitoring and use non-line-of-sight (NLOS) biological device to perceive physiological signal of patients. Therefore, we put forward a NLOS monitoring system for heart disease. Firstly, It is used to collect the physiological data of heart disease patients in real time. It is portable and non-line-of-sight, which provides really contact-less and interference-free monitoring environment for patients. Besides, edge computing is introduced to the heart disease monitoring system to support the short-delay and high-reliability response to urgent disease condition. Specifically, we deploy based on deep learning disease prediction model at edge nodes. Meanwhile, combining hospital and home healthcare, we propose rescue strategies for heart attack. To verify the feasibility of wireless NLOS monitoring system for heart disease combined hospital and home, we conduct case analysis for the key technologies and methods in the monitoring system, and built an experimental platform to test the proposed system.
机译:心脏病是目前世界上的严重公共卫生问题之一。根据研究,心血管疾病的死亡率和残疾率是世界上最高的。在本文中,我们引入了用于健康监测的无线射频技术,并使用浅线(NLOS)生物学装置来感知患者的生理信号。因此,我们提出了一种心脏病的NLOS监测系统。首先,它用于实时收集心脏病患者的生理数据。它是便携式和非视线,为患者提供了真正的接触和无干扰监测环境。此外,引入边缘计算到心脏病监测系统,以支持对紧急疾病病症的短暂延迟和高可靠性反应。具体地,我们基于边缘节点的深度学习疾病预测模型部署。与此同时,结合医院和家庭医疗保健,我们提出了心脏病发作的救援策略。为了验证心脏病组合医院和家庭无线NLOS监测系统的可行性,我们对监控系统中的关键技术和方法进行案例分析,并建立了一个测试所提出的系统的实验平台。

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