Design and Implementation of Smart Insulin Device for Non-Invasive Blood Glucose Level Monitoring

Deepthi V.*, Manisha R.**, Mohammad Yunus***, P. Bindushree****, Manu D. K.*****
*_*****Department of Electronics and Communication Engineering, K S School of Engineering and Management, Bengaluru, Karnataka, India.
Periodicity:January - June'2019
DOI : https://doi.org/10.26634/jes.7.2.16460

Abstract

Diabetes is one of the life-threatening diseases in the world. Nowadays, diabetes patients are increasing due to improper monitoring of blood glucose level. The diabetes infected patients have to check the amount of glucose level present in the body using an invasive method. By using this method, they have to take a drop of blood from the body and check the amount of glucose level, by which they can inject the required amount of insulin into the body. To overcome the difficulties caused by invasive method, in this prototype a non-invasive methodology is used. The main objective of this work is to design a portable non-invasive blood glucose level monitoring device using Near Infrared (NIR) sensors. The device includes Infrared LED, Photodiode, and Arduino MEGA 2560 microcontroller. Besides being able to detect glucose concentration in blood, the device also displays the required insulin dose based on glucose level corresponding to the Body Mass Index (BMI) of the user. In this paper, NIR spectroscopy is used to achieve bloodless monitoring of glucose level from a diabetic patient and also extracts insulin mechanism based on the data provided by the processor/controller.

Keywords

Diabetes, Blood Glucose Level, Non-Invasive, Insulin Extraction Mechanism, NIR Spectroscopy

How to Cite this Article?

Deepthi. V., Manisha, R., Yunus, M., Bindushree, P., & Manu, D. K. (2019). Design and Implementation of Smart Insulin Device for Non-Invasive Blood Glucose Level Monitoring. i-manager's Journal on Embedded Systems, 7(2), 19-27. https://doi.org/10.26634/jes.7.2.16460

References

[1]. Agrawal, N., Agrawal, M. K., Kumari, T., & Kumar, S. (2017). Correlation between body mass index and blood glucose levels in Jharkhand population. International Journal of Contemporary Medical Research (IJCMR), 4(8), 1633-1636.
[2]. Arduino. (n. d). Retrieved from https://www.arduino. cc/
[3]. Chowdhury, A. M., Khan, R. I., Nirzhor, S. S. R., Jabin, J., & Khan, A. I. (2017). A novel approach in adjustment of total daily insulin dosage for type 2 diabetes patients using a fuzzy logic based system. Journal of Innovations in Pharmaceutical and Biological Sciences, 4(4), 65-72.
[4]. Diabetes. (n. d). Wikipedia, Retrieved from https://en. wikipedia.org/wiki/Diabetes_mellitus
[5]. Duerkop, A., Schaeferling, M., & Wolfbeis, O. S. (2006). Glucose sensing and glucose determination using fluorescent probes and molecular receptors. In Glucose Sensing (pp. 351-375). Springer, Boston, MA. https://doi.org/10.1007/0-387-33015-1_15
[6]. Faraz, Z. (2018). Evaluation of blood pressure based on intensity of pulse. International Journal of Applied Engineering Research and Development (IJAERD), 8(1), 23-34. https://doi.org/10.24247/ijaerdfeb20183
[7]. Geddes, C. D., & Lakowicz, J. R. (2006). Topics in fluorescence spectroscopy glucose sensing. 1st edition, Springer Business Media, New York, USA, 11, 259-260. https://doi.org/10.1007/0-387-33015-1_10
[8]. Held, G. (2016). Introduction to light emitting diode technology and applications. Auerbach Publications, (pp.116). https://doi.org/10.1201/9781420076639
[9]. International Diabetes Federation. (2019). Shape the Future of Diabetes. Retrieved from https://www.idf.org/
[10]. Jeon, K. J., Hwang, I. D., Hahn, S. J., & Yoon, G. (2006). Comparison between transmittance and reflectance measurements in glucose determination using near infrared spectroscopy. Journal of Biomedical Optics, 11(1), 014022. https://doi.org/10.1117/1.2165572
[11]. Khalil, O. S. (1999). Spectroscopic and clinical aspects of the non-invasive glucose measurements. Clinical Chemistry, 45(2), 165-177.
[12]. Malin, S. F., Ruchti, T. L., Blank, T. B., Thennadil, S. N., & Monfre, S. L. (1999). Noninvasive prediction of glucose by near-infrared diffuse reflectance spectroscopy. Clinical Chemistry, 45(9), 1651-1658.
[13]. Narkhede, P., Dhalwar, S., & Karthikeyan, B. (2016). NIR based non-invasive blood glucose measurement. Indian Journal of Science and Technology, 9(41), 1-5. https://doi.org/10.17485/ijst/2016/v9i41/98996
[14]. Poddar, R., Andrews, J. T., Shukla, P., & Sen, P. (2008). Non-invasive glucose monitoring techniques: A review and current trends. arXiv preprint arXiv:0810.5755.
[15]. Reddy, P. S., & Jyostna, K. (2017, January). Development of smart insulin device for non invasive blood glucose level monitoring. In 2017 IEEE 7th International Advance Computing Conference (IACC) (pp. 516-519). IEEE. https://doi.org/10.1109/IACC.2017. 0112
[16]. Tenhunen, J., Kopola, H., & Myllylä, R. (1998). Noninvasive glucose measurement based on selective near infrared absorption; requirements on instrumentation and spectral range. Measurement, 24(3), 173-177. https://doi.org/10.1016/S0263-2241(98)00054-2
[17]. Thorlabs, (2007). LED1550E - 1550 nm Epoxy- Encased LED, 2.0 mW, T-1 3/4. Retrieved from https://www.thorlabs.com/thorproduct.cfm?partnumber =LED1550E
[18]. Vidyadevi, M., Chimmad, S., Shilpa, Meghana, T, & Tamboti, H. (2018). Non-invasive blood glucose measurement system. International Research Journal of Engineering and Technology (IRJET), 5(5), 3559- 3560.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Online 15 15

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.