IoT Based Health Monitoring System with LoRa Communication Technology

N. Misran, Mohammad Shahidul Islam, G. Beng, N. Amin, M. Islam
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引用次数: 22

Abstract

Supporting sensors integrated with IoT healthcare can effectively analyze and gather the patients' physical health data that has made the IoT healthcare ubiquitously acceptable. The continuous presence of the healthcare professionals and staff as well as the proper amenities in remote areas during emergency situations need to be addressed for developing a flexible IoT based health monitoring system. Development of IoT based health monitoring system allows a personalized treatment in certain circumstances that helps to reduce the healthcare cost and wastage with a continuous improving outcome. We present an IoT based health monitoring system using the MySignals development shield for Arduino Uno. Evaluating the performances and effectiveness of the sensors and wireless platform devices are also the aim of the project. MySignals enables multiple sensors such as temperature, ECG, oxygen saturation and pulse rate to gather the physical data. The aim is to transmit the gathered data from MySignals to a cloud or pc by implementing a wireless system with LoRa. The results show that MySignals is successfully interfaced with the ECG, temperature, oxygen saturation and pulse rate sensors. 36.5–37.5°C body temperature, 60–100 bpm pulse rate, and 96–99% oxygen saturation have been experimented with confidence interval approximation of 95%, 99% and 99%, respectively. The communication with the hyper-terminal program using LoRa has been implemented and an IoT based health monitoring system is being developed in MySignals platform with the expected results getting from the sensors.
基于物联网的LoRa通信健康监测系统
与物联网医疗集成的支持传感器可以有效地分析和收集患者的身体健康数据,这使得物联网医疗无处不在。在紧急情况下,需要解决医疗专业人员和工作人员的持续存在以及偏远地区的适当设施问题,以开发灵活的基于物联网的健康监测系统。基于物联网的健康监测系统的开发允许在某些情况下进行个性化治疗,这有助于降低医疗成本和浪费,并不断改善结果。我们提出了一个基于物联网的健康监测系统,使用Arduino Uno的myssignals开发屏蔽。评估传感器和无线平台设备的性能和有效性也是该项目的目的。myssignals支持多个传感器,如温度、心电图、氧饱和度和脉搏率,以收集物理数据。其目的是通过实现具有LoRa的无线系统,将收集到的数据从MySignals传输到云或pc。结果表明,MySignals成功地与心电、温度、血氧饱和度和脉搏率传感器进行了接口。36.5-37.5°C的体温、60-100 bpm的脉搏率和96-99%的氧饱和度分别以95%、99%和99%的置信区间近似值进行了实验。使用LoRa实现了与超级终端程序的通信,并且正在MySignals平台上开发基于物联网的健康监测系统,并从传感器获得预期结果。
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