Kamol Sarkar, Dhrubo Ahmad, Suvojit Kumar Singha, Mohiudding Ahmad
{"title":"Design and Implementation of a Noninvasive Blood Glucose Monitoring Device","authors":"Kamol Sarkar, Dhrubo Ahmad, Suvojit Kumar Singha, Mohiudding Ahmad","doi":"10.1109/ICCITECHN.2018.8631942","DOIUrl":null,"url":null,"abstract":"In 21st century, diabetes has become one of the most life-threatening concerns which can affect both adults and infants. If the proper treatment is not taken and the glucose level is not kept within the normal range, it can damage vital organs of the human body. Due to this, it is important to check the blood glucose level regularly. There are different types of invasive glucometers available in the market. These invasive methods need a blood sample which causes pain, time-consuming, and higher cost. For this, a noninvasive method is badly needed. In this study, an easily usable noninvasive blood glucose monitoring device is developed that can measure glucose level continuously and eliminates the drawbacks of the invasive system. Near-infrared spectroscopy and transmission photoplethysmography (PPG) is used to estimate blood glucose concentration. 940nm wavelength light is placed on a fingertip and the output of the optical sensor is filtered, amplified and fed to Arduino Uno R3 microcontroller based on Atmega328. After regression analysis, the predicted glucose level is displayed on the LCD screen. The result of the implemented device is compared with a commercially available invasive glucometer and the average error is less than 4 % which shows that the device is reliable to estimate blood glucose concentration.","PeriodicalId":355984,"journal":{"name":"2018 21st International Conference of Computer and Information Technology (ICCIT)","volume":"2 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 21st International Conference of Computer and Information Technology (ICCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCITECHN.2018.8631942","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
In 21st century, diabetes has become one of the most life-threatening concerns which can affect both adults and infants. If the proper treatment is not taken and the glucose level is not kept within the normal range, it can damage vital organs of the human body. Due to this, it is important to check the blood glucose level regularly. There are different types of invasive glucometers available in the market. These invasive methods need a blood sample which causes pain, time-consuming, and higher cost. For this, a noninvasive method is badly needed. In this study, an easily usable noninvasive blood glucose monitoring device is developed that can measure glucose level continuously and eliminates the drawbacks of the invasive system. Near-infrared spectroscopy and transmission photoplethysmography (PPG) is used to estimate blood glucose concentration. 940nm wavelength light is placed on a fingertip and the output of the optical sensor is filtered, amplified and fed to Arduino Uno R3 microcontroller based on Atmega328. After regression analysis, the predicted glucose level is displayed on the LCD screen. The result of the implemented device is compared with a commercially available invasive glucometer and the average error is less than 4 % which shows that the device is reliable to estimate blood glucose concentration.
在21世纪,糖尿病已成为影响成人和婴儿的最危及生命的问题之一。如果不采取适当的治疗,血糖水平不能保持在正常范围内,就会损害人体的重要器官。因此,定期检查血糖水平非常重要。市场上有不同类型的侵入性血糖仪。这些侵入性方法需要采集血液样本,这会带来疼痛、耗时和更高的成本。为此,迫切需要一种非侵入性的方法。本研究开发了一种易于使用的无创血糖监测装置,可以连续测量血糖水平,消除了有创系统的缺点。使用近红外光谱和透射光容积脉搏波(PPG)来估计血糖浓度。940nm波长的光放在指尖上,光学传感器的输出经过滤波、放大并馈送到基于Atmega328的Arduino Uno R3微控制器。经过回归分析,预测的血糖水平显示在液晶屏幕上。与市售的侵入式血糖仪进行了比较,平均误差小于4%,表明该装置可可靠地估计血糖浓度。