Aug 2026· 2026 International Conference on Modern Sustainable Systems (CMSS)· pp. 780-785· 0 citations· 10 references
Abstract
Diabetes management requires frequent glucose monitoring, but conventional finger-prick methods are invasive, uncomfortable, and often discourage regular testing. This paper presents GlucoTrack, a non-invasive glucose monitoring system that uses near-infrared (NIR) sensing, signal preprocessing, and a long short-term memory (LSTM) neural network to estimate and predict glucose trends. The system is designed as an Internet of Medical Things (IoMT) platform with a React.js front end, Node.js and Express.js back end, and MongoDB storage for secure data handling. By combining optical sensing, personalized modeling, and incremental learning, the proposed system aims to support preventive healthcare through continuous, user-friendly glucose tracking. The major limitations are sensor noise, calibration difficulty, physiological variation across users, and the need for larger datasets before clinical reliability can be established.
Diabetes has become one of the critical health problems globally, with rapidly rising prevalence in developing regions. Nevertheless, many people are still dependent on the finger-pricking method to check blood glucose level. This conventional method is painful and inconvenient for daily use, especially for children an...
Mandakini Sapkota, Jayanti Thakur, Monika Karki et al.· Journal of Electronics and I...· 0 citations
The glucose concentration in the range from 111-330 mg/dl represents a diabetic patient. it causes physical impairment of vital organs. presently, non-invasive blood glucose monitoring device that uses the blood dielectric and impedance properties is becoming popular for diabetes detection. a realistic reusable low-cos...
Mahesh Sheth, M. Jadhav, Sunita Deshmukh· Journal of Science & Tec...· 0 citations
Abstract Background Continuous glucose monitoring (CGM) can facilitate weight management and lower the risk of metabolic diseases by providing real-time feedback on glycemic responses, thereby enabling more informed lifestyle decisions. However, current CGM systems remain constrained by invasiveness, cost, and short se...
F. Schmelter, Xin-Yu Huang, Annika Heidmann et al.· JMIR mHealth and uHealth· 0 citations
Continuous Glucose Monitoring (CGM) changed diabetes care by replacing isolated fingerstick readings with continuous interstitial glucose tracking. Today, improvements in sensor accuracy, enzyme technology, and predictive analytics are taking CGM well past traditional glycemic management. This review highlights how con...
Mahmud Hasan· Journal of Association of Cl...· 0 citations
In the present circumstances, it is exceedingly hard for people to monitor their blood sugar levels on a regular basis. Checking the blood glucose levels of diabetic individuals is often an essential part of managing diabetes. Now, this means repeatedly pricking your finger and bleeding. Non-invasive (NI) detection met...
Vinay Manurkar, Prashant P. Bansod· Applied Sciences· 0 citations
People with Type 1 Diabetes (T1D) make frequent insulin dosing decisions, where both over- and under-dosing carry serious health consequences. Existing digital tools are often reactive, relying on current glucose measurements while under-using key physiological factors such as insulin-on-board, carbohydrate absorption,...
Y. Pansheriya, Marjan Asadinia· Coins· 0 citations
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