基于Arduino的物联网远程健康监测系统

A. Nduka, Joshua Samual, S. Elango, Sajilal Divakaran, Umar Umar, R. SenthilPrabha
{"title":"基于Arduino的物联网远程健康监测系统","authors":"A. Nduka, Joshua Samual, S. Elango, Sajilal Divakaran, Umar Umar, R. SenthilPrabha","doi":"10.1109/I-SMAC47947.2019.9032438","DOIUrl":null,"url":null,"abstract":"In recent times, the advent of technology such as Internet of Things (IoT), Cloud technology, Artificial Intelligence (AI), computing etc., information technology has witnessed a paradigm shift in tackle problems, live our daily lives, interact with each other and respond to issues of our daily lives. Generally, the IoT is a network of interconnected nodes or computers that sense gather and transmit/communicate data to relevant nodes for action and decision making. Even though we have a series of vital sign monitors ranging from manually operated to analogue and digital sensors, they are all stand-alone devices which are not connected to the patient's doctor in real-time. In this paper, the Remote Health Monitoring (RHM) system can sense certain human vital signs such as, temperature, respiration and heartbeat (pulse) which is connected in real time environment. RHM system is built on Arduino UNO board which houses other microcontrollers and sensor paired with IOT Gecko, which is further designed in a way that physicians can view patient's vital sign reading in real-time irrespective of their geographical location. When these body vital signs fall below or above normal parameters, the system triggers an alarm, giving physicians the opportunity to carry out timely individualized intervention on patients in crisis. Two different devices (Omron digital Temperature monitor, ChoiceMMed heart rate monitor) were taken for study and the results were compared with RHM system. The accuracy of the system was evaluated and it was found that +/−0.5 degrees. Hence we can conclusively say that RHM delivers accurate reading with better functionality.","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Internet of Things Based Remote Health Monitoring System Using Arduino\",\"authors\":\"A. Nduka, Joshua Samual, S. Elango, Sajilal Divakaran, Umar Umar, R. SenthilPrabha\",\"doi\":\"10.1109/I-SMAC47947.2019.9032438\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent times, the advent of technology such as Internet of Things (IoT), Cloud technology, Artificial Intelligence (AI), computing etc., information technology has witnessed a paradigm shift in tackle problems, live our daily lives, interact with each other and respond to issues of our daily lives. Generally, the IoT is a network of interconnected nodes or computers that sense gather and transmit/communicate data to relevant nodes for action and decision making. Even though we have a series of vital sign monitors ranging from manually operated to analogue and digital sensors, they are all stand-alone devices which are not connected to the patient's doctor in real-time. In this paper, the Remote Health Monitoring (RHM) system can sense certain human vital signs such as, temperature, respiration and heartbeat (pulse) which is connected in real time environment. RHM system is built on Arduino UNO board which houses other microcontrollers and sensor paired with IOT Gecko, which is further designed in a way that physicians can view patient's vital sign reading in real-time irrespective of their geographical location. When these body vital signs fall below or above normal parameters, the system triggers an alarm, giving physicians the opportunity to carry out timely individualized intervention on patients in crisis. Two different devices (Omron digital Temperature monitor, ChoiceMMed heart rate monitor) were taken for study and the results were compared with RHM system. The accuracy of the system was evaluated and it was found that +/−0.5 degrees. Hence we can conclusively say that RHM delivers accurate reading with better functionality.\",\"PeriodicalId\":275791,\"journal\":{\"name\":\"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I-SMAC47947.2019.9032438\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I-SMAC47947.2019.9032438","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

近年来,随着物联网(IoT)、云技术、人工智能(AI)、计算技术等技术的出现,信息技术在解决问题、日常生活、相互互动和回应日常生活问题方面发生了范式转变。一般来说,物联网是由相互连接的节点或计算机组成的网络,这些节点或计算机感知收集数据并将数据传输/通信到相关节点,以进行行动和决策。尽管我们有一系列的生命体征监测器,从手动操作到模拟和数字传感器,但它们都是独立的设备,没有实时连接到病人的医生。远程健康监测(RHM)系统可以实时感知人体的某些生命体征,如体温、呼吸、心跳(脉搏)等。RHM系统建立在Arduino UNO板上,该板上装有其他微控制器和与IOT Gecko配对的传感器,该传感器进一步设计为医生可以实时查看患者的生命体征读数,而无论其地理位置如何。当这些身体生命体征低于或高于正常参数时,系统会触发警报,使医生有机会对危重患者进行及时的个性化干预。采用欧姆龙数字体温监测仪、ChoiceMMed心率监测仪两种不同的设备进行研究,并与RHM系统进行比较。系统的精度进行了评估,发现+/ - 0.5度。因此,我们可以肯定地说,RHM提供准确的读数与更好的功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Internet of Things Based Remote Health Monitoring System Using Arduino
In recent times, the advent of technology such as Internet of Things (IoT), Cloud technology, Artificial Intelligence (AI), computing etc., information technology has witnessed a paradigm shift in tackle problems, live our daily lives, interact with each other and respond to issues of our daily lives. Generally, the IoT is a network of interconnected nodes or computers that sense gather and transmit/communicate data to relevant nodes for action and decision making. Even though we have a series of vital sign monitors ranging from manually operated to analogue and digital sensors, they are all stand-alone devices which are not connected to the patient's doctor in real-time. In this paper, the Remote Health Monitoring (RHM) system can sense certain human vital signs such as, temperature, respiration and heartbeat (pulse) which is connected in real time environment. RHM system is built on Arduino UNO board which houses other microcontrollers and sensor paired with IOT Gecko, which is further designed in a way that physicians can view patient's vital sign reading in real-time irrespective of their geographical location. When these body vital signs fall below or above normal parameters, the system triggers an alarm, giving physicians the opportunity to carry out timely individualized intervention on patients in crisis. Two different devices (Omron digital Temperature monitor, ChoiceMMed heart rate monitor) were taken for study and the results were compared with RHM system. The accuracy of the system was evaluated and it was found that +/−0.5 degrees. Hence we can conclusively say that RHM delivers accurate reading with better functionality.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信