{"title":"Implantable Smart Devices for Remote Health Monitoring to Detect Hypo/Hyperglycaemia","authors":"Ramya Palaniappan, S. R, Suseendran Surendran","doi":"10.1109/IDCIoT56793.2023.10053411","DOIUrl":null,"url":null,"abstract":"Hypoglycemia / Hyperglycemia is a long-term metabolic disorder in which the Blood Glucose (BG) level of the patient is low or high than the standard range. High blood glucose level if untreated can cause heart disease, stroke, blindness, kidney failure and amputation of toes, feet or legs. The Internet of Medical Things(IoMT) is the amalgamation of the information from medical devices and medical software applications that connects healthcare IT systems seamlessly. Remote Health Monitoring System (RHMS) is the process of making use of the technology for providing medical services to the patients in non-clinical environment. In situations where the patients cannot reach the clinical environment, RHMS when incorporated will aid the healthcare professionals to deliver personalized treatment for the patients. In this study, IoMT enabled Continuous Glucose Monitoring (CGM) system enables continuous automated monitoring of blood glucose(BG) levels of the patients at regular intervals. This reduces the burden of measuring the BG levels and recording the results manually for further follow up. This continuous monitoring environment can send alerts to the patients and or to the clinicians when the BG levels are out of the normal range. This CGM system will be beneficial for the clinicians to alert Individuals about the upcoming health complications and recommend quality lifestyle for them to stay healthy. Yellow Springs Instrument’s (YSI) BG readings are used to compare the proposed CGM system’s performance in terms of Mean Absolute Relative Difference (MARD). Additionally, the challenges and threats associated with constructing the IoMT ecosystem were highlighted, as well as potential solutions.","PeriodicalId":60583,"journal":{"name":"物联网技术","volume":"30 1","pages":"888-896"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"物联网技术","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/IDCIoT56793.2023.10053411","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Hypoglycemia / Hyperglycemia is a long-term metabolic disorder in which the Blood Glucose (BG) level of the patient is low or high than the standard range. High blood glucose level if untreated can cause heart disease, stroke, blindness, kidney failure and amputation of toes, feet or legs. The Internet of Medical Things(IoMT) is the amalgamation of the information from medical devices and medical software applications that connects healthcare IT systems seamlessly. Remote Health Monitoring System (RHMS) is the process of making use of the technology for providing medical services to the patients in non-clinical environment. In situations where the patients cannot reach the clinical environment, RHMS when incorporated will aid the healthcare professionals to deliver personalized treatment for the patients. In this study, IoMT enabled Continuous Glucose Monitoring (CGM) system enables continuous automated monitoring of blood glucose(BG) levels of the patients at regular intervals. This reduces the burden of measuring the BG levels and recording the results manually for further follow up. This continuous monitoring environment can send alerts to the patients and or to the clinicians when the BG levels are out of the normal range. This CGM system will be beneficial for the clinicians to alert Individuals about the upcoming health complications and recommend quality lifestyle for them to stay healthy. Yellow Springs Instrument’s (YSI) BG readings are used to compare the proposed CGM system’s performance in terms of Mean Absolute Relative Difference (MARD). Additionally, the challenges and threats associated with constructing the IoMT ecosystem were highlighted, as well as potential solutions.