Abstract
Artificial pancreas systems have been designed and implemented over type 1 diabetes patients to overcome glucose regulation problems of conventional therapies. However, hypoglycemia is one of the most feared conditions associated with artificial pancreas systems. This paper presents a new control system based on an Embedded Model Control strategy for glucose regulation including a safety scheme designed to reduce the risk of hypoglycemia events on a full closed-loop system. Insulin on board estimation was used as part of the safety scheme to limit the insulin dose. Simulations implemented through a FDA simulator to test and compare the system performance were assessed. Results show an avoidance of hypoglycemia events in all virtual patients implementing the safety scheme.
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Authors are supported by Antonio Nariño University project 2018222 and Colciencias project #110180763081.
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Leon-Vargas, F., Jutinico, A.L., Molano-Jimenez, A. (2021). Hypoglycemia Prevention Using an Embedded Model Control with a Safety Scheme: In-silico Test. In: Panuccio, G., Rocha, M., Fdez-Riverola, F., Mohamad, M., Casado-Vara, R. (eds) Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020). PACBB 2020. Advances in Intelligent Systems and Computing, vol 1240. Springer, Cham. https://doi.org/10.1007/978-3-030-54568-0_19
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DOI: https://doi.org/10.1007/978-3-030-54568-0_19
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