IoT-Based Non-Invasive Blood Glucose Monitoring System

Abstract

Diabetes mellitus is a multifaceted set of disorders that share an abnormality in the body's utilization of glucose, leading to hyperglycemia. Once identified, sugar diabetes can be managed with a suitable regimen which includes insulin injections or oral medications to lower the level of glucose in the blood, nutrition therapy, weight loss programs for overweight individuals, and exercise. The most popular technique for determining blood glucose levels is an invasive one that is costly, unpleasant, and raises the risk of infectious disease transmission. Monitoring blood glucose levels by both the doctor and the patient is crucial to preventing the disease's deadly consequences, which include heart disease, blindness, renal failure, and amputations. There are many advantages to intensive therapy and frequent glucose monitoring. The race to develop the next generation of bloodless, painless, accurate glucose instruments has begun as a result of the rapid advancements in diagnostics. This project's primary goal is to create a portable, non-invasive blood glucose monitoring tool. Using optical radiation, the device should be able to measure the blood's glucose level and show the results on the LED panel. Additionally, by using a non-invasive strategy, we may avoid the drawbacks of an intrusive approach and keep a constant eye on the patient's blood glucose levels. Thus, by detecting diabetes mellitus early, we can lower the risk of major complications and death from the disease.

Country : India

1 Kalyankar Bhagyashree2 Dr. C.A. Manjare

  1. Department of Electronics and Telecommunication, Jaywantrao Sawant College of Engineering, Hadapsar, Pune, Maharashtra, India
  2. Department of Electronics and Telecommunication, Jaywantrao Sawant College of Engineering, Hadapsar, Pune, Maharashtra, India

IRJIET, Volume 8, Issue 4, April 2024 pp. 275-279

doi.org/10.47001/IRJIET/2024.804042

References

  1. Blood glucose level monitoring by noninvasive method sing infra-red sensor- P. Daaarani & Kavithamani.
  2. A Literature Survey on Non Invasive Blood Group Detection; IRJEDT -Immaculate Stefi, Dr Manasa Ravindra Walmiki, Pallavi.K-01, Jan 2022.
  3. /documents/mdpi.com/2079-4991/12/2/221.pdf
  4. Progressing towards stimuli-responsive sensing methods in optical biosensors for diabetes management.
  5. Optical biosensors for the control of diabetes: Tanishk Agarwal, **Kanishk Singh**.
  6. https://www.journals.elsevier.com/biosensors-and-bioelectronics Advances in Biosensor for Continuous Glucose Monitoring towards Wearables.
  7. Lucy Johnston1, Gonglei Wang2, Kunhui Hu3, Chungen Qian4, and Guozhen Liu2, may be found at https://www.researchgate.net/publication/360110407.
  8. The PDF file at https://www.mdpi.com/2079-4991/12/2/221 Agrawal P, Chen X, Liu M, Shin J, Cordero TL, Stone MP, and Kaufman FR. Diabetes Technol Ther, 20, pp. 689–92, 2018.
  9. Analysis of 3-month real-world glucose data after the MiniMed 670G system commercial launch." Biomedical Optics express 289, Vol. 9, No. 1, 2018.
  10. Ryosuke Kasahara, Saiko Kino, Shunsuke Soyama, and Yuji Matsuura, "Non-invasive glucose Monitoring using wave numbers".
  11. International Journal of Latest Trends in Engineering and Technology, P. Daarani 1 & A. Kavitha Mani.