Towards Insulin Monitoring: Infrequent Kalman Filter Estimates for Diabetes Management ⁎⁎This work was made possible with support from The Leona M. and Harry B. Helmsley Charitable Trust (Grant no. 2018PG-TID061).

التفاصيل البيبلوغرافية
العنوان:	Towards Insulin Monitoring: Infrequent Kalman Filter Estimates for Diabetes Management ⁎⁎This work was made possible with support from The Leona M. and Harry B. Helmsley Charitable Trust (Grant no. 2018PG-TID061).
المؤلفون:	Wolkowicz, Kelilah L., Deshpande, Sunil, Doyle Iii, Francis J., Dassau, Eyal
المصدر:	IFAC-PapersOnLine; January 2020, Vol. 53 Issue: 2 p15877-15883, 7p
مستخلص:	We propose a Kalman filter-based observer utilizing noisy remote compartment insulin measurements to estimate plasma insulin concentration. The design considers plant-model mismatch, sensor noise, as well as both uniform sampling intervals, mimicking infrequent continuous measurements, and non-uniform sampling intervals, mimicking infrequent on-demand measurements. The performance of the observer is demonstrated on ten in-silicosubjects from the UVA/Padova simulator using real-life scenarios, including variability in sensor noise and variability in insulin pharmacokinetics. The proposed observer provides insight into the future use of insulin measurements for diabetes management.
قاعدة البيانات:	Supplemental Index

الوصف
تدمد:	24058963
DOI:	10.1016/j.ifacol.2020.12.279