Generic placeholder image

Current Signal Transduction Therapy

Editor-in-Chief

ISSN (Print): 1574-3624
ISSN (Online): 2212-389X

Research Article

A Non-Invasive IoT-Based Glucose Level Monitoring System

Author(s): Sudip Paul, Shruti Jain*, Bikram Majhi, Karobi Pegu and Vinayak Majhi

Volume 17, Issue 3, 2022

Published on: 01 September, 2022

Article ID: e240522205153 Pages: 10

DOI: 10.2174/1574362417666220524085231

Price: $65

Abstract

Background: Diabetes is one of the most common diseases and is a major public health problem worldwide. It is also the leading high-risk cause of death and disability in the world. To avoid further complications due to diabetes, regular monitoring of blood glucose levels is very important. All the current methods used to measure blood glucose are invasive, which require finger piercing, and this invasive method is more painful and more likely to cause infection. However, patients need to be directed toward developing non-invasive techniques to relieve pain.

Objective: In this paper, the author uses non-invasive techniques that utilize near infrared sensors for glucose level determination from the fingertip without requiring needles and test strips.

Methods: Near Infrared (NIR) optical signal is transmitted through one side of the fingertip and then received from the other side, through which blood glucose’s molecular count is predicted by analyzing the variation in the received signal’s intensity after its reflection. The signal is then filtered and amplified before going into the microcontroller to be displayed on an LCD. The glucose readings are also sent to a phone via Wi-Fi and displayed through an Android application using IoT.

Results: The designed hardware is calibrated with regression analysis by a pre-calibrated conventional blood sugar machine. The derived equation is being set concerning voltage vs. blood sugar measurement. Finally, the device is being tested with 5 individual subjects with 10 reading each.

Conclusion: The device is designed to measure blood glucose in a non-invasive way, and by integrating the IoT into the device, you have the freedom to measure your blood glucose remotely, except that it is available over the internet. If so, the same works fine.

Keywords: Diabetes, blood glucose, noninvasive techniques, near-infrared, iot, mobile application.

Graphical Abstract
[1]
Organization WH. World Health Organization Global Report on Diabetes. Geneva: World Health Organization 2016.
[2]
Saeedi P, Petersohn I, Salpea P, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Re-sults from the International Diabetes Federation Diabetes Atlas. 9th edition Diabetes Res Clin Pract 2019; 157107843.
[http://dx.doi.org/10.1016/j.diabres.2019.107843] [PMID: 31518657]
[3]
Atlas D. International diabetes federation IDF Diabetes Atlas. 7th ed Brussels, Belgium: International Diabetes Federation. 2015. Available from: https://www.diabetesatlas.org/upload/resources/previous/files/7/IDF%20Diabetes%20Atlas%207th.pdf
[4]
Burrin JM, Alberti KG. What is blood glucose: Can it be measured? Diabet Med 1990; 7(3): 199-206.
[http://dx.doi.org/10.1111/j.1464-5491.1990.tb01370.x] [PMID: 2139389]
[5]
Güemes M, Rahman SA, Hussain K. What is a normal blood glucose? Arch Dis Child 2016; 101(6): 569-74.
[http://dx.doi.org/10.1136/archdischild-2015-308336] [PMID: 26369574]
[6]
Cahill GF Jr, Ashmore J, Renold AE, Hastings AB. Blood glucose and the liver. Am J Med 1959; 26(2): 264-82.
[http://dx.doi.org/10.1016/0002-9343(59)90316-X] [PMID: 13617284]
[7]
Alberti KG, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: Diagnosis and classifi-cation of diabetes mellitus provisional report of a WHO consultation. Diabet Med 1998; 15(7): 539-53.
[http://dx.doi.org/10.1002/(SICI)1096-9136(199807)15:7<539:AID-DIA668>3.0.CO;2-S] [PMID: 9686693]
[8]
Srinivasan V, Pamula VK, Pollack MG, Fair RB, Eds. Clinical diagnostics on human whole blood, plasma, serum, urine, saliva, sweat, and tears on a digital microfluidic platform. Proc Micro: TAS 2003.
[9]
Tang L, Chang SJ, Chen C-J, Liu J-T. Non-invasive blood glucose monitoring technology: A review. Sensors (Basel) 2020; 20(23): 6925.
[http://dx.doi.org/10.3390/s20236925] [PMID: 33291519]
[10]
Ashok V, Kumar N. Determination of blood glucose concentration by using wavelet transform and neural networks. Iran J Med Sci 2013; 38(1): 51-6.
[PMID: 23645958]
[11]
Xue Y, Thalmayer AS, Zeising S, Fischer G, Lübke M. Commercial and scientific solutions for blood glucose monitoring-a review. Sensors (Basel) 2022; 22(2): 425.
[http://dx.doi.org/10.3390/s22020425] [PMID: 35062385]
[12]
Shang T, Zhang JY, Thomas A, et al. Products for monitoring glucose levels in the human body with noninvasive optical, noninvasive fluid sampling, or minimally invasive technologies. J Diabetes Sci Technol 2022; 16(1): 168-214.
[http://dx.doi.org/10.1177/19322968211007212] [PMID: 34120487]
[13]
Peng Z, Xie X, Tan Q, et al. Blood glucose sensors and recent advances: A review. J Innov Opt Health Sci 2022; 0(0): 2230003.
[http://dx.doi.org/10.1142/S1793545822300038]
[14]
Saeedi S, Chammani S, Fischer G. Feasibility study of glucose concentration measurement of aqueous solution using time domain reflect-ed signals. Sensors (Basel) 2022; 22(3): 1174.
[http://dx.doi.org/10.3390/s22031174] [PMID: 35161919]
[15]
Srichan C, Srichan W, Danvirutai P, Ritsongmuang C, Sharma A, Anutrakulchai S. Non-invasively accuracy enhanced blood glucose sen-sor using shallow dense neural networks with NIR monitoring and medical features. Sci Rep 2022; 12(1): 1769.
[http://dx.doi.org/10.1038/s41598-022-05570-8] [PMID: 35110583]
[16]
Yadav J, Rani A, Singh V, Murari BM. Prospects and limitations of non-invasive blood glucose monitoring using near-infrared spectros-copy. Biomed Signal Process Control 2015; 18: 214-27.
[http://dx.doi.org/10.1016/j.bspc.2015.01.005]
[17]
Turgul V, Kale I, Eds. RF/microwave non-invasive blood glucose monitoring: An overview of the limitations, challenges & state-of-the-art 2019 E-Health and Bioengineering Conference (EHB). IEEE 2019.
[18]
Rachim VP, Chung W-Y. Wearable-band type visible-near infrared optical biosensor for non-invasive blood glucose monitoring. Sens Actuators B Chem 2019; 286: 173-80.
[http://dx.doi.org/10.1016/j.snb.2019.01.121]
[19]
Kim J, Campbell AS, Wang J. Wearable non-invasive epidermal glucose sensors: A review. Talanta 2018; 177: 163-70.
[http://dx.doi.org/10.1016/j.talanta.2017.08.077] [PMID: 29108571]
[20]
Ali H, Bensaali F, Jaber F. Novel approach to non-invasive blood glucose monitoring based on transmittance and refraction of visible laser light. IEEE Access 2017; 5: 9163-74.
[http://dx.doi.org/10.1109/ACCESS.2017.2707384]
[21]
Malik S, Gupta S, Khadgawat R, Anand S, Eds. A novel non-invasive blood glucose monitoring approach using saliva. 2015 IEEE Inter-national Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES).
[http://dx.doi.org/10.1109/SPICES.2015.7091562]
[22]
Saptari VA. A spectroscopic system for near infrared glucose measurement Massachusetts Institute of Technology. 2004. Available from: https://dspace.mit.edu/handle/1721.1/34131
[23]
Park HD, Lee KJ, Yoon HR, Nam HH. Design of a portable urine glucose monitoring system for health care. Comput Biol Med 2005; 35(4): 275-86.
[http://dx.doi.org/10.1016/j.compbiomed.2004.02.003] [PMID: 15749089]
[24]
McNichols RJ, Coté GL. Optical glucose sensing in biological fluids: An overview. J Biomed Opt 2000; 5(1): 5-16.
[http://dx.doi.org/10.1117/1.429962] [PMID: 10938760]
[25]
Baba JS, Cameron BD, Theru S, Coté GL. Effect of temperature, pH, and corneal birefringence on polarimetric glucose monitoring in the eye. J Biomed Opt 2002; 7(3): 321-8.
[http://dx.doi.org/10.1117/1.1484163] [PMID: 12175281]
[26]
Rohrscheib M, Robinson R, Eaton RP. Non-invasive glucose sensors and improved informatics--the future of diabetes management. Diabetes Obes Metab 2003; 5(5): 280-4.
[http://dx.doi.org/10.1046/j.1463-1326.2003.00275.x] [PMID: 12940864]
[27]
Jain P, Joshi AM, Mohanty SP. iGLU: An intelligent device for accurate noninvasive blood glucose-level monitoring in smart healthcare. IEEE Consum Electron Mag 2019; 9(1): 35-42.
[http://dx.doi.org/10.1109/MCE.2019.2940855]
[28]
Vashist SK. Non-invasive glucose monitoring technology in diabetes management: A review. Anal Chim Acta 2012; 750: 16-27.
[http://dx.doi.org/10.1016/j.aca.2012.03.043] [PMID: 23062426]
[29]
Jain S, Manocha AK. Design and development of smart monitoring module for detection of virus. Measurement. Sensors (Basel) 2021; 16100048.
[30]
Tura A, Maran A, Pacini G. Non-invasive glucose monitoring: Assessment of technologies and devices according to quantitative criteria. Diabetes Res Clin Pract 2007; 77(1): 16-40.
[http://dx.doi.org/10.1016/j.diabres.2006.10.027] [PMID: 17141349]
[31]
Sunny S, Kumar SS, Eds. Optical based non invasive glucometer with IoT. 2018 International Conference on Power, Signals, Control and Computation (EPSCICON).
[http://dx.doi.org/10.1109/EPSCICON.2018.8379597]
[32]
Lawand K, Parihar M, Patil SN, Eds. Design and development of infrared LED based non invasive blood glucometer. 2015 Annual IEEE India Conference (INDICON).
[http://dx.doi.org/10.1109/INDICON.2015.7443487]
[33]
Menon KU, Hemachandran D, Kunnath AT, Eds. Voltage intensity based non-invasive blood glucose monitoring. 2013 Fourth Interna-tional Conference on Computing, Communications and Networking Technologies (ICCCNT).
[http://dx.doi.org/10.1109/ICCCNT.2013.6726720]

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy