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IoT Based Health Monitoring System with LoRa Communication Technology

机译:基于LoRa通信技术的基于IoT的健康监控系统

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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.
机译:与IoT医疗保健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,从而使IoT医疗保健普遍被接受。在开发基于IoT的灵活健康监控系统时,需要解决医疗专业人员和员工的持续存在以及在紧急情况下偏远地区的适当便利设施的问题。基于物联网的健康监控系统的开发允许在某些情况下进行个性化治疗,从而有助于降低医疗保健成本和浪费,并持续改善结果。我们使用Arduino Uno的MySignals开发板提供基于IoT的健康监控系统。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标。 MySignals使多个传感器(例如温度,ECG,血氧饱和度和脉搏率)能够收集物理数据。目的是通过使用LoRa实现无线系统,将MySignals收集的数据传输到云或PC。结果表明MySignals已成功与ECG,温度,血氧饱和度和脉搏率传感器连接。实验了36.5–37.5°C的体温,60–100 bpm的脉冲频率和96–99%的氧饱和度,其置信区间近似分别为95%,99%和99%。已经实现了使用LoRa与超终端程序的通信,并且在MySignals平台中正在开发基于IoT的健康监控系统,其预期结果将从传感器中获得。

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