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Two-Dimensional vs. Scalar Control of Blood Glucose Level in Diabetic Patients

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Information Technology in Biomedicine (ITIB 2022)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1429))

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Abstract

Closed-loop controllers for insulin pumps have been on the market for some time. It has been shown that modified PID or MPC control algorithms are best suited for artificial pancreas. However, due to nonnegative control values only and relatively slow dynamics of the response to insulin input, they are not well equipped to deal with hypoglycemia induced by a physical effort. This paper is focused on that aspect of blood glucose control. Two alternative solutions are proposed and compared. The first one is based on feedforward, with additional information about future physical effort entered by the user. The second approach uses an additional control in the form of glucagon. Simulation is run for a fixed scenario of three meals and additional physical effort that affects the insulin-glucose system for a cohort of virtual patients, for whom model parameters were sampled. Performance of control systems is evaluated with several quality indicators.

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References

  1. American diabetes association. 6. glycemic targets. Diabetes Care 40(Supplement 1), S48–S56 (2016). https://doi.org/10.2337/dc17-S009

  2. Bergman, R.: The minimal model: yesterday, today and tomorrow. In: R. Bergman, J. Lovejoy (eds.) The minimal model approach and determinants of glucose tolerance. Louisiana University Press, Baton Rouge, USA (1997)

    Google Scholar 

  3. Bertachi, A., Ramkissoon, C.M., Bondia, J., Vehí, J.: Automated blood glucose control in type 1 diabetes: a review of progress and challenges. Endocrinología, Diabetes y Nutrición 65(3), 172–181 (2018). https://doi.org/10.1016/j.endinu.2017.10.011

    Article  Google Scholar 

  4. Blauw, H., Onvlee, A.J., Klaassen, M., van Bon, A.C., DeVries, J.H.: Fully closed loop glucose control with a bihormonal artificial pancreas in adults with type 1 diabetes: an outpatient, randomized, crossover trial. Diab. Care 44(3), 836–838 (2021). https://doi.org/10.2337/dc20-2106

    Article  Google Scholar 

  5. van Bon, A.C., Luijf, Y.M., Koebrugge, R., Koops, R., Hoekstra, J.B., DeVries, J.H.: Feasibility of a portable bihormonal closed-loop system to control glucose excursions at home under free-living conditions for 48 hours. Diab. Technol. Ther. 16(3), 131–136 (2014). https://doi.org/10.1089/dia.2013.0166

    Article  Google Scholar 

  6. Brun, J., Guintrand-Hugret, R., Boegner, C., Bouix, O., Orsetti, A.: Influence of short-term submaximal exercise on parameters of glucose assimilation analyzed with the minimal model. Metabolism 44(7), 833–840 (1995). https://doi.org/10.1016/0026-0495(95)90234-1

    Article  Google Scholar 

  7. Colmegna, P.H., Bianchi, F.D., Sanchez-Pena, R.S.: Automatic glucose control during meals and exercise in type 1 diabetes: Proof-of-concept in silico tests using a switched LPV approach. IEEE Control Syst. Lett. 5(5), 1489–1494 (2021). https://doi.org/10.1109/lcsys.2020.3041211

    Article  MathSciNet  Google Scholar 

  8. Herrero, P., Georgiou, P., Oliver, N., Reddy, M., Johnston, J., Toumazou, C.: A composite model of glucagon-glucose dynamics for in silico testing of bihormonal glucose controllers. J. Diab. Sci. Technol. 7(4), 941–951 (2013). https://doi.org/10.1177/193229681300700416

    Article  Google Scholar 

  9. Hirsch, I.: Type 1 diabetes mellitus and the use of flexible insulin regimens. Am. Family Phys. 60(8), 2343–2356 (1999)

    Google Scholar 

  10. Hovorka, R., et al.: Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes. Phys. Measur. 25(4), 905–920 (2004)

    Article  Google Scholar 

  11. Briscoe, V., Davis, S.: Hypoglycemia in Type 1 Diabetes. In: Type 1 Diabetes in Adults, pp. 203–220. CRC Press, Boca Raton (2007)

    Google Scholar 

  12. Lehmann, E., Deutsch, T.: A physiological model of glucose-insulin interaction in type 1 diabetes mellitus. J Biomed. Eng. 14, 235–242 (1992)

    Article  Google Scholar 

  13. Matejko, B., Kukułka, A., Kieć-Wilk, B., Stąpór, A., Klupa, T., Malecki, M.T.: Basal insulin dose in adults with type 1 diabetes mellitus on insulin pumps in real-life clinical practice: a single-center experience. Adv. Med. 2018, 1–5 (2018). https://doi.org/10.1155/2018/1473160

    Article  Google Scholar 

  14. Paiva, H.M., Keller, W.S., da Cunha, L.G.R.: Blood-glucose regulation using fractional-order PID Control. J. Control Autom. Electr. Syst. 31(1), 1–9 (2019). https://doi.org/10.1007/s40313-019-00552-0

    Article  Google Scholar 

  15. Śmieja, J., Gałuszka, A.: Rule-based pid control of blood glucose level. In: A. Świerniak, J. Krystek (eds.) ’Teoria i zastosowania. T. 2’. Wydawnictwo Politechniki Ślaskiej, Gliwice (2018)

    Google Scholar 

  16. Tabassum, M.F., Farman, M., Naik, P.A., Ahmad, A., Ahmad, A.S., Hassan, S.M.: Modeling and simulation of glucose insulin glucagon algorithm for artificial pancreas to control the diabetes mellitus. Netw. Model. Anal. Health Inf. Bioinf. 10(1), 1–8 (2021). https://doi.org/10.1007/s13721-021-00316-4

    Article  Google Scholar 

  17. Taleb, N., et al.: Efficacy of single-hormone and dual-hormone artificial pancreas during continuous and interval exercise in adult patients with type 1 diabetes: randomised controlled crossover trial. Diabetologia 59(12), 2561–2571 (2016). https://doi.org/10.1007/s00125-016-4107-0

    Article  Google Scholar 

  18. Taleb, N., Haidar, A., Messier, V., Gingras, V., Legault, L., Rabasa-Lhoret, R.: Glucagon in artificial pancreas systems: potential benefits and safety profile of future chronic use. Diabetes Obes. Metab. 19(1), 13–23 (2016). https://doi.org/10.1111/dom.12789

    Article  Google Scholar 

  19. Wendt, S., et al.: Model of the glucose-insulin-glucagon dynamics after subcutaneous administration of a glucagon rescue bolus in healthy humans. In: Proceedings of The American Diabetes Association’s 76th Scientific Sessions. The American Diabetes Association, New Orleans, Louisiana, United States (2016)

    Google Scholar 

  20. Global Report on Diabetes. World Health Organisation (2016)

    Google Scholar 

  21. Guidelines on second- and third-line medicines and type of insulin for the control of blood glucose levels in non-pregnant adults with diabetes mellitus. World Health Organisation, Geneva (2018)

    Google Scholar 

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Acknowledgement

This work was supported by the SUT internal grant for young researchers (AW) and the SUT internal grant 02/040/BK_21/1022.

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Authors and Affiliations

  1. Department of Systems Biology and Engineering, Silesian University of Technology, ul. Akademicka 16, 44-100, Gliwice, Poland

    Jarosław Śmieja & Artur Wyciślok

Authors
  1. Jarosław Śmieja
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  2. Artur Wyciślok
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Corresponding author

Correspondence to Artur Wyciślok .

Editor information

Editors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Ewa Pietka

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Pawel Badura

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Wojciech Wieclawek

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Śmieja, J., Wyciślok, A. (2022). Two-Dimensional vs. Scalar Control of Blood Glucose Level in Diabetic Patients. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2022. Advances in Intelligent Systems and Computing, vol 1429. Springer, Cham. https://doi.org/10.1007/978-3-031-09135-3_43

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