基于物联网的健康监测使用树莓派

A. Kaur, Ashish Jasuja
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引用次数: 60

摘要

医学是一个新兴领域,随着新技术的发展而加速发展,这是“物联网”愿景变为现实的时代。物联网可以在医疗保健领域发挥重要作用,一方面管理慢性病,另一方面预防疾病。人们要求以更低的临床成本获得更多的护理,远程健康监测(使用物联网)是满足这一需求的可能解决方案之一。如果设备是可穿戴的,以方便自我监测,则可以最好地利用远程健康监测。在本文中,我们提出了一个系统,用于监测脉搏率,体温(重要身体参数)的人与专用传感器以及树莓派和物联网。该系统是可穿戴的,还支持远程健康监测。通过将收集到的数据存储到Bluemix云中实现远程健康监控,医生可以在任何地方检索这些数据进行分析,并及时发现任何异常情况。bluemixuse MQTT(消息队列遥测传输)协议。随着系统的远程监控和可穿戴性,精度和成本不容忽视。通过选择合适的传感器DS18B20(温度传感器)和KG011(心率传感器),实现了系统精度和成本之间的完美权衡。传感器可以测量一个人在不同时刻的脉搏率和体温。这些读数在IBM沃森物联网平台上以图表的形式显示。
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Health monitoring based on IoT using Raspberry PI
The world of medical science is an emerging area that has accelerated with new technologies and this is the time when the vision of “The internet of things (IoT)” has turned into reality. IoT can play a significant role in healthcare domain by managing chronic diseases at one end as well as preventing diseases on the other hand. People demand more care at reduced clinical costs, remote health monitoring (using IoT) is one of the possible solutions to this demand. Remote health monitoring can be best utilized provided the device is wearable to facilitate self-monitoring. In this paper, we propose a system for monitoring of pulse rate, body temperature (vital body parameters) of the person with dedicated sensors along with Raspberry pi and IoT. A system is wearable and also supports remote health monitoring. Remote Health monitoring is attained by storing the collected data to Bluemix cloud, this data can be retrieved by the doctor for analysis anywhere and any aberrancy will be timely detected. Bluemixuses MQTT(Message Queuing Telemetry Transport) protocol. Along with remote monitoring and wearability of system, accuracy and cost cannot be ignored. A perfect tradeoff between accuracy and cost of the system is accomplished by choosing appropriate sensors which are DS18B20 (temperature sensor) and KG011 (heart rate sensor). The pulse rate and temperature of a person at different time instants are measured by the sensors. The readings are shown in the form of graphs at IBM Watson IoT platform.
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