{"title":"Ichor——基于物联网、云和移动技术的无创血糖监测系统","authors":"Satvik Dasari","doi":"10.1109/IEMTRONICS51293.2020.9216345","DOIUrl":null,"url":null,"abstract":"According to the Centers for Disease Control and Prevention, 34.2 million Americans have diabetes, which is 10.5% of the US population. Additionally, 88 million or 34.5% of the US adult population have prediabetes. People with diabetes are required to monitor their sugar levels periodically to avoid hypoglycemia (low blood sugar) or hyperglycemia (high blood sugar). The most common method to measure glucose levels is invasive and involves pricking fingers. Although there are noninvasive methods, they are very expensive. This paper proposes an innovative noninvasive system to measure glucose levels in blood using sensors, a microcontroller, Cloud, and mobile technology. Mechanisms built into this device send alerts to caregivers if glucose levels are unsafe. The glucose monitoring system is also integrated into an Internet of Things (IoT) analytics platform that shows continuous and historical data. The solution is low-cost, easy to use, and allows continuous monitoring. The prototype was validated using a dextrose solution and real-time readings. The results show a close relationship between actual glucose levels and the data collected from the noninvasive glucometer.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"394 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Ichor - an IoT, Cloud, and Mobile Technologies Based Noninvasive Glucose Monitoring System\",\"authors\":\"Satvik Dasari\",\"doi\":\"10.1109/IEMTRONICS51293.2020.9216345\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to the Centers for Disease Control and Prevention, 34.2 million Americans have diabetes, which is 10.5% of the US population. Additionally, 88 million or 34.5% of the US adult population have prediabetes. People with diabetes are required to monitor their sugar levels periodically to avoid hypoglycemia (low blood sugar) or hyperglycemia (high blood sugar). The most common method to measure glucose levels is invasive and involves pricking fingers. Although there are noninvasive methods, they are very expensive. This paper proposes an innovative noninvasive system to measure glucose levels in blood using sensors, a microcontroller, Cloud, and mobile technology. Mechanisms built into this device send alerts to caregivers if glucose levels are unsafe. The glucose monitoring system is also integrated into an Internet of Things (IoT) analytics platform that shows continuous and historical data. The solution is low-cost, easy to use, and allows continuous monitoring. The prototype was validated using a dextrose solution and real-time readings. The results show a close relationship between actual glucose levels and the data collected from the noninvasive glucometer.\",\"PeriodicalId\":269697,\"journal\":{\"name\":\"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)\",\"volume\":\"394 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMTRONICS51293.2020.9216345\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216345","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ichor - an IoT, Cloud, and Mobile Technologies Based Noninvasive Glucose Monitoring System
According to the Centers for Disease Control and Prevention, 34.2 million Americans have diabetes, which is 10.5% of the US population. Additionally, 88 million or 34.5% of the US adult population have prediabetes. People with diabetes are required to monitor their sugar levels periodically to avoid hypoglycemia (low blood sugar) or hyperglycemia (high blood sugar). The most common method to measure glucose levels is invasive and involves pricking fingers. Although there are noninvasive methods, they are very expensive. This paper proposes an innovative noninvasive system to measure glucose levels in blood using sensors, a microcontroller, Cloud, and mobile technology. Mechanisms built into this device send alerts to caregivers if glucose levels are unsafe. The glucose monitoring system is also integrated into an Internet of Things (IoT) analytics platform that shows continuous and historical data. The solution is low-cost, easy to use, and allows continuous monitoring. The prototype was validated using a dextrose solution and real-time readings. The results show a close relationship between actual glucose levels and the data collected from the noninvasive glucometer.