{"title":"IoT in Patient Respiratory Condition & Oxygen Regulator's Flowrate Monitor","authors":"Ayu Jati Puspitasari, Arya Nicosa, Djiwo Harsono, Dian Bayu Prakarsa","doi":"10.23919/EECSI50503.2020.9251293","DOIUrl":null,"url":null,"abstract":"Respiratory condition monitoring, including respiration rate and oxygen saturation, and oxygen flow rate in oxygen tanks needed for patients undergoing oxygen therapy. Lack of medical staff in hospitals and efforts to minimize interactions between patients and nurses during the pandemic, open opportunity to develop the respiratory condition and oxygen flowrate monitoring systems using the Internet of Things (IoT) technology. Respiration rate and oxygen saturation data send to the local web network using the ESP8266 WiFi module and router. This monitoring system website was built on a server computer in the monitoring room using the PHP-MySQL programming language with Sublime Text 3 and XAMPP software. The website consists of features of the new user registration, user login, adding patient data, editing patient data, searching for patients, and patient respiratory condition monitoring pages. Connection speed based on the ability of the router range and the distance between the router and the microcontroller. For testing the reliability of the connection, the system simulated interrupted. The reconnecting times for the router and microcontroller range 3, 5, and 7 meters are 35.4 s, 35.6 s, and 35.3 s, respectively. The average response time for the system to receive data from the microcontroller and display the data on the monitoring page is 1.998 s, and there is no different data from the data on the web database and data on the serial monitor.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"10 1","pages":"162-167"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/EECSI50503.2020.9251293","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Respiratory condition monitoring, including respiration rate and oxygen saturation, and oxygen flow rate in oxygen tanks needed for patients undergoing oxygen therapy. Lack of medical staff in hospitals and efforts to minimize interactions between patients and nurses during the pandemic, open opportunity to develop the respiratory condition and oxygen flowrate monitoring systems using the Internet of Things (IoT) technology. Respiration rate and oxygen saturation data send to the local web network using the ESP8266 WiFi module and router. This monitoring system website was built on a server computer in the monitoring room using the PHP-MySQL programming language with Sublime Text 3 and XAMPP software. The website consists of features of the new user registration, user login, adding patient data, editing patient data, searching for patients, and patient respiratory condition monitoring pages. Connection speed based on the ability of the router range and the distance between the router and the microcontroller. For testing the reliability of the connection, the system simulated interrupted. The reconnecting times for the router and microcontroller range 3, 5, and 7 meters are 35.4 s, 35.6 s, and 35.3 s, respectively. The average response time for the system to receive data from the microcontroller and display the data on the monitoring page is 1.998 s, and there is no different data from the data on the web database and data on the serial monitor.
呼吸状态监测,包括呼吸速率、血氧饱和度、供氧患者所需氧气罐的氧流量。大流行期间,医院医务人员的缺乏以及为尽量减少患者和护士之间的互动所做的努力,为利用物联网(IoT)技术开发呼吸状况和氧流量监测系统提供了机会。呼吸速率和氧饱和度数据通过ESP8266 WiFi模块和路由器发送到本地web网络。本监控系统网站是在监控室的一台服务器上,采用PHP-MySQL编程语言,使用Sublime Text 3和XAMPP软件搭建的。该网站包括新用户注册、用户登录、添加患者数据、编辑患者数据、搜索患者、患者呼吸状况监测页面等功能。连接速度取决于路由器的能力范围和路由器与单片机之间的距离。为了测试连接的可靠性,系统进行了模拟中断。路由器和微控制器3米、5米和7米的重新连接时间分别为35.4秒、35.6秒和35.3秒。系统从单片机接收数据并在监控页面上显示数据的平均响应时间为1.998 s,与web数据库上的数据和串口监视器上的数据没有差异。