Safety Layer Design for Improved Glucose Regulation in Artificial Pancreas Systems
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61973-1_26
Reference16 articles.
1. Cappon, G., Noaro, G., Camerlingo, N., Cossu, L., Sparacino, G., Facchinetti, A.: A new decision support system for type 1 diabetes management. In: Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), November 2021
2. Pinsker, J.E., et al.: Clinical evaluation of a novel cgm-informed bolus calculator with automatic glucose trend adjustment. Diabetes Technol. Ther. 24, 18–25 (2022)
3. Noaro, G., Cappon, G., Vettoretti, M., Sparacino, G., Favero, S.D., Facchinetti, A.: Machine-learning based model to improve insulin bolus calculation in type 1 diabetes therapy. IEEE Trans. Biomed. Eng. 68, 247–255 (2021)
4. Buckingham, B., et al.: Prevention of nocturnal hypoglycemia using predictive alarm algorithms and insulin pump suspension. Diabetes Care 33, 1013–1017 (2010)
5. Dassau, E., et al.: Real-time hypoglycemia prediction suite using continuous glucose monitoring: a safety net for the artificial pancreas. Diabetes Care 33, 1249–1254 (2010)
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