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Title: | Continuous glucose monitoring: a systematic review of sensor systems and prospects |
Authors: | Ray, Partha Pratim |
Keywords: | Sensors Medical |
Issue Date: | 2018 |
Publisher: | Emerald Publishing Limited |
Citation: | Sensor Review,V.38(4),2018, 420–437 pp. |
Abstract: | Purpose: Continuous glucose monitoring (CGM) is a notable invention introduced in the biomedical industry. It provides valuable information about intermittent capillary blood glucose that is normally unattainable by regular clinical blood sample tests. CGM includes several progressive facilities such as instantaneous and real-time display of blood glucose level, “24/7” coverage, continuous motion of alerts for actual or impending hypo- and hyperglycemia and the ability to characterize glycemic variability. CGM allows users and physicians to visualize and diagnose more accurate and precise rate of change of glucose by capacitating small, comfortable, user-friendly sensor devices. Sometimes, this vital information is shared to the personal message box over Internet. In short, CGM is capable to inform, educate, motivate and alert (IEMA) people with diabetes. Despite the huge expectation with CGM, the available solutions have not attracted much attention among people. The huge potential of CGM in future diabetic study relies on the successful implication of the CGM. This paper aims at disseminating of state-of-the-art knowledge about existing work around the CGM. Design/methodology/approach: This paper presents a comprehensive systematic review on the recent developments in CGM development techniques that have been reported in credible sources, namely PubMed, IEEE Xplore, Science Direct, Springer Link, Scopus and Google Scholar. Detailed analysis and systematic comparison are provided to highlight the achievement and future direction of CGM deployment. Findings: Several key challenges are also portrayed for suitable opportunistic orientation. CGM solutions from four leading manufacturers such as Tandem, Dexcom, Abbott and Medtronic are compared based on the following factors including accuracy (% MARD); sensor lifetime, calibration requirement, smart device, compatibility and remote monitoring. Qualitative and quantitative analyses are performed. |
URI: | https://doi.org/10.1108/SR-12-2017-0268 http://dspace.cus.ac.in/jspui/handle/1/6425 |
ISSN: | 0260-2288 |
Appears in Collections: | Partha Pratim Ray |
Files in This Item:
File | Description | Size | Format | |
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10-1108_SR-12-2017-0268.pdf | 1.97 MB | Adobe PDF | View/Open |
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