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The IoT-based heart disease monitoring system for pervasive healthcare service

机译:基于物联网的心脏病监测系统,可广泛用于医疗保健服务

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In China, most of heart attack results in death before the patients get any treatment. Because the traditional healthcare mode is passive, by which patients call the healthcare service by themselves. Consequently, they usually fail to call the service if they are unconscious when the heart disease attacks. The Internet of Things (IoT) techniques have overwhelming superiority in solving the problem of heart diseases patients care as they can change the service mode into a pervasive way, and trigger the healthcare service based on patients’ physical status rather than their feelings. In order to realize the pervasive healthcare service, a remote monitoring system is essential. In this paper, we proposed a pervasive monitoring system that can send patients’ physical signs to remote medical applications in real time. The system is mainly composed of two parts: the data acquisition part and the data transmission part. The monitoring scheme (monitoring parameters and frequency for each parameter) is the key point of the data acquisition part, and we designed it based on interviews to medical experts. Multiple physical signs (blood pressure, ECG, SpO2, heart rate, pulse rate, blood fat and blood glucose) as well as an environmental indicator (patients’ location) are designed to be sampled at different rates continuously. Four data transmission modes are presented taking patients’ risk, medical analysis needs, demands for communication and computing resources into consideration. Finally, a sample prototype is implemented to present an overview of the system.
机译:在中国,大多数心脏病发作会在患者未接受任何治疗之前导致死亡。由于传统的医疗模式是被动的,因此患者可以自行呼叫医疗服务。因此,如果心脏病发作时失去知觉,他们通常无法致电服务。物联网(IoT)技术在解决心脏病患者护理方面具有压倒性的优势,因为他们可以将服务模式转变为一种普遍的方式,并根据患者的身体状况而不是他们的感受来触发医疗服务。为了实现无所不在的医疗服务,远程监控系统必不可少。在本文中,我们提出了一种无处不在的监视系统,该系统可以将患者的体征实时发送到远程医疗应用程序。该系统主要由两部分组成:数据获取部分和数据传输部分。监控方案(监控参数和每个参数的频率)是数据采集部分的重点,我们是根据对医学专家的采访而设计的。多个体征(血压,ECG,SpO2,心率,脉搏率,血脂和血糖)以及环境指标(患者所在位置)被设计为以不同的速率连续采样。提出了四种数据传输模式,其中考虑了患者的风险,医学分析需求,对通信和计算资源的需求。最后,实现了一个样本原型,以展示系统的概述。

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