Implantable Smart Devices for Remote Health Monitoring to Detect Hypo/Hyperglycaemia

Ramya Palaniappan, S. R, Suseendran Surendran
{"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.
用于远程健康监测检测低血糖/高血糖的植入式智能设备
低血糖/高血糖是一种长期代谢性疾病,患者的血糖水平低于或高于标准范围。如果不及时治疗,高血糖会导致心脏病、中风、失明、肾衰竭和脚趾、脚或腿截肢。医疗物联网(IoMT)是来自医疗设备和医疗软件应用程序的信息的融合,可以无缝连接医疗IT系统。远程健康监测系统(RHMS)是利用远程医疗技术在非临床环境下为患者提供医疗服务的过程。在患者无法到达临床环境的情况下,合并后的RHMS将帮助医疗保健专业人员为患者提供个性化治疗。在本研究中,IoMT支持的连续血糖监测(CGM)系统能够定期连续自动监测患者的血糖(BG)水平。这减少了测量BG水平和手动记录结果的负担,以便进一步随访。当血糖水平超出正常范围时,这种持续监测环境可以向患者或临床医生发出警报。该CGM系统将有助于临床医生提醒患者即将出现的健康并发症,并为他们推荐高质量的生活方式以保持健康。黄泉仪器(YSI)的BG读数用于根据平均绝对相对差(MARD)比较所提出的CGM系统的性能。此外,还强调了与构建IoMT生态系统相关的挑战和威胁,以及潜在的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
5689
×
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