使用ThingSpeak的基于物联网的患者健康监测系统

B. Bawankar, Bhushan M. Manjre, Vaibhav Uplanchiwar
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摘要

无线模式下的传感器技术是当今医疗保健系统研究和自动化的核心原则。由于在心脏骤停的情况下缺乏医疗援助,心脏病患者现在面临着巨大的即时死亡风险。在这里,我们提出了一个专门用于向医生和家属传递老年患者实时病历的系统。最后,我们提出了一种利用无线传感器技术对敏感患者进行持续监测的新方法,以防止他们的猝死率,这里的通信媒介当然是互联网。该系统将通过使用温度和心跳传感器来监测患者的健康状况。Arduino-uno连接到两个传感器。利用互联网,我们的目标是创建一个可以随时监测病人身体的系统。我们的系统的目的是通过传感器测量病人的一些生物参数,如体温、心率、血压等参数,传感器收集的数据将通过wifi模块发送到物联网云平台。因此,通过将患者的健康数据存储在云上,医生和亲属可以通过智能手机跟踪患者的健康状况。此外,Wi-Fi模块(ESP8266)的功耗可以尽可能地降低。因此,我们设计的系统具有较低的复杂性,低功耗,并且非常便于患者监护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IOT Based Patient Health Monitoring System Using ThingSpeak
Sensors technology in the Wireless mode is the central dogma of research and automation in today’s health-care systems. Heart patients are on huge risk of instant death today because of lack of medical assistance in the next moment of cardiac arrest like situations. Here, we proposed system which is especially for conveying live track record of the old age patients to their doctors and relatives. At last we have proposed a novel approach for constant monitoring of the sensitive patients to prevent their sudden death rate using wireless sensor technology and here the Internet will of course be the medium of communication. The proposed system will monitor the health of patients by using a temperature and heartbeat sensor. The Arduino-uno is connected to both sensors. Using internet, our goal is to create a system that can be used to monitor a patient’s body at any time. The purpose of our system is to measure some biological parameters of the ill person like body temperature, heart rate, blood pressure and other parameters using sensors and the data collected by the sensors will be sent to IOT Cloud platform with the help of WIFI-Module. Hence with the health data of the patient stored on the cloud, the doctors and the relatives can keep track of their patient’s health on their smartphones. Also, the Wi-Fi module’s (ESP8266) power consumption can be lowered as much as possible. As a result, our designed system has a low level of complexity, low power consumption, and is very portable for patient monitoring.
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