Cost-Effective Non-Invasive Blood Glucose Monitoring System with Mobile Application for Management of Diabetic Patients
Abstract
Introduction: Diabetes is a significant health concern worldwide. The current methods of monitoring the glucose level include invasive and minimally invasive methods, which cause pain and have some limitations too. We have discussed different methods of blood glucose detection.
Aims: The aim of the study is to develop a low-cost, non-invasive device, especially for the rural public, to ensure diabetes management can be done at home.
Methods and Material: This article uses an infrared-based technique for non-invasive blood glucose measurement. The trials were conducted on 18 healthy and two diabetic patients. We developed an experimental setup for controlling blood glucose levels within a prescribed range using insulin and glucagon delivery. The system sends data to the caregiver using an Internet of Things approach.
Results: Our non-invasive system’s error was around 12.5%, tested through clinical trials, making it a viable option for further testing in medical applications. The student’s t test shows a good correlation of 0.45 between blood glucose levels measured using the developed device and the traditional Accu-Chek active device. The entire process time is around 300 sec. The range tested for the non-invasive method is 50–600 mg/dL, with a response time of 10 sec.
Conclusions: The developed system can monitor glucose levels in real time and inject insulin or glucagon as needed. The system is user-friendly and affordable, and it can be monitored remotely using IoT and can save patients time, particularly in rural areas, especially in developing countries. More clinical trials are needed to verify the results. There are challenges associated with the development and implementation of IoT-based injection systems, including accuracy.
How to cite this article:
Singh A K, Harini H, Kuralarasi P, Monigha R M, Ravina G, Joshi M D. Cost-Effective Non-Invasive Blood Glucose Monitoring System with Mobile Application for Management of Diabetic Patients. Chettinad Health City Med J. 2024;13(1):34-40.
DOI: https://doi.org/10.24321/2278.2044.202407
References
Boyko EJ, Magliano DJ, Karuranga S, Piemonte L, Riley P, Saeedi P, Sun H. International Diabeties Atlas 2021 [Internet]. 10th ed. International Diabetes Federation; 2021 [cited 2023 Jun 23]. Available from: https://diabetesatlas.org/idfawp/resource-files/2021/07/IDF_Atlas_10th_Edition_2021.pdf
Singh AK, Roychoudhury A, Jha SK. Reusable glucose sensor based on enzyme immobilized egg-shell membrane. Anal Sci. 2016;32(10):1077-82. [PubMed] [Google Scholar]
Yoo EH, Lee SY. Glucose biosensors: an overview of use in clinical practice. Sensors (Basel). 2010;10(5):4558-76. [PubMed] [Google Scholar]
Bhagavan NV. Simple carbohydrates. In: Donaghy N, editor. Medical biochemistry. Canada: Elsevier; 2002. p. 133-51.
Narkhede P, Dhalwar S, Karthikeyan B. NIR based non-invasive blood glucose measurement. Indian J Sci Technol. 2016;9(41):1-7. [Google Scholar]
Singh AK, Jha SK. Fabrication and validation of a handheld non-invasive, optical biosensor for self-monitoring of glucose using saliva. IEEE Sens J. 2019;19(18):8332-9. [Google Scholar]
Purvinis G, Cameron BD, Altrogge DM. Noninvasive polarimetric-based glucose monitoring: an in vivo study. J Diabetes Sci Technol. 2011;5(2):380-7. [PubMed] [Google Scholar]
Scholtes-Timmerman MJ, Bijlsma S, Fokkert MJ, Slingerland R, van Veen SJ. Raman spectroscopy as a promising tool for noninvasive point-of-care glucose monitoring. J Diabetes Sci Technol. 2014;8(5):974-9. [PubMed] [Google Scholar]
Ren Z, Liu G, Zhang C, Zeng L, Ding Y. Photoacoustic detection of glucose based on the pulsed laser induced ultrasonic combined with scanning position method. Proc. SPIE. Vol. 11438. International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology; 2020. [Google Scholar]
Ojha A, Ojha U, Mohammed R, Chandrashekar A, Ojha H. Current perspective on the role of insulin and glucagon in the pathogenesis and treatment of type 2 diabetes mellitus. Clin Pharmacol. 2019;11:57-65. [PubMed] [Google Scholar]
Centers for Disease Control and Prevention [Internet]. Injection safety; 2012 [cited 2023 Jun 25]. Available from: https://www.cdc.gov/injectionsafety/
Raikar AS, Kumar P, Raikar GS, Somnache SN. Advances and challenges in IoT-based smart drug delivery systems: a comprehensive review. Appl Syst Innov. 2023;6(4):62. [Google Scholar]
Nordisk N. Be prepared for very low blood sugar [Internet]. GlucaGen HypoKit; 2021 [cited 2023 Jun 25]. Available from: https://www.glucagenhypokit.com/#:~:text=What is GlucaGen®
Nall R. Understanding your daily insulin needs [Internet]. Healthline; 2022 [cited 2023 Jun 27]. Available from: https://www.healthline.com/health/how-muchinsulin-to-take-chart#how-to-calculate
DailyMed [Internet]. Glucagon emergency kit for low blood sugar; 2020 [cited 2023 Jun 26]. Available from: https://dailymed.nlm.nih.gov/dailymed/fda/fdaDrugXsl.cfm?setid=a0845f53-edad-e28f-e053-2995a90a31cf&type=display#:~:text=In a study in healthy,of 50 minutes after injection
The Things Stack [Internet]. Cayenne; [cited 2022 Oct 20]. Available from: https://www.thethingsindustries.com/docs/integrations/cloud-integrations/cayenne/
Hina A, Saadeh W. Noninvasive blood glucose monitoring systems using near-infrared technology-a review. Sensors (Basel). 2022;22(13):4855. [PubMed] [Google Scholar]
