{"title":"A REAL TIME IOT ENHANCED GLUCOSE MONITORING SYSTEM (EGMS) FOR DIABETES PATIENTS","authors":"Akanbi Caleb Olufisoye","doi":"10.5875/AUSMT.V10I1.2131","DOIUrl":null,"url":null,"abstract":"Blood glucose meters(BGM) plays a very important role in diabetes management by providing the diabetes patients opportunity to monitor blood glucose levels from home. The major limitation of the existing BGM is the inability to keep track of result records obtained over a long period of time due to the manufacturer threshold setup and limited memory space of the device. To provide solution, this paper presents an Internet of things (IOT) enhanced BGM system. The system design consists of Arduino Uno, INA219 Biosensor, Test Strip and Ethernet module. The software platform for this design was implemented using C Programming Language and Arduino 1.6.4. which logs test results from BGM into a remote database on the Google sheet online. Finally, appropriate testing and performance evaluation for ten patients was carried using voltage level and Blood Flowrate metrics. The result obtained showed that this proposed system performed very well for various categories of patients.","PeriodicalId":38109,"journal":{"name":"International Journal of Automation and Smart Technology","volume":"10 1","pages":"301-358"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Automation and Smart Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5875/AUSMT.V10I1.2131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 2
Abstract
Blood glucose meters(BGM) plays a very important role in diabetes management by providing the diabetes patients opportunity to monitor blood glucose levels from home. The major limitation of the existing BGM is the inability to keep track of result records obtained over a long period of time due to the manufacturer threshold setup and limited memory space of the device. To provide solution, this paper presents an Internet of things (IOT) enhanced BGM system. The system design consists of Arduino Uno, INA219 Biosensor, Test Strip and Ethernet module. The software platform for this design was implemented using C Programming Language and Arduino 1.6.4. which logs test results from BGM into a remote database on the Google sheet online. Finally, appropriate testing and performance evaluation for ten patients was carried using voltage level and Blood Flowrate metrics. The result obtained showed that this proposed system performed very well for various categories of patients.
期刊介绍：
International Journal of Automation and Smart Technology (AUSMT) is a peer-reviewed, open-access journal devoted to publishing research papers in the fields of automation and smart technology. Currently, the journal is abstracted in Scopus, INSPEC and DOAJ (Directory of Open Access Journals). The research areas of the journal include but are not limited to the fields of mechatronics, automation, ambient Intelligence, sensor networks, human-computer interfaces, and robotics. These technologies should be developed with the major purpose to increase the quality of life as well as to work towards environmental, economic and social sustainability for future generations. AUSMT endeavors to provide a worldwide forum for the dynamic exchange of ideas and findings from research of different disciplines from around the world. Also, AUSMT actively seeks to encourage interaction and cooperation between academia and industry along the fields of automation and smart technology. For the aforementioned purposes, AUSMT maps out 5 areas of interests. Each of them represents a pillar for better future life: - Intelligent Automation Technology. - Ambient Intelligence, Context Awareness, and Sensor Networks. - Human-Computer Interface. - Optomechatronic Modules and Systems. - Robotics, Intelligent Devices and Systems.
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