What is it about?
People with type 1 diabetes (T1D) regulate their blood glucose concentration by administering insulin by injection or infusion. An accurate estimation of the amount of active insulin already present in the body prevents overdosing. An adaptive and personalized plasma insulin concentration (PIC) estimator is designed to accurately quantify the insulin present in the bloodstream. The proposed PIC estimation approach incorporates Hovorka’s glucose-insulin model with the unscented Kalman filtering algorithm. Methods for the personalized initialization of the time-varying model parameters to individual patients for improved estimator convergence are developed. Data from 20 three-days-long closed-loop clinical experiments conducted involving subjects with T1DM are used to evaluate the proposed PIC estimation approach.
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Why is it important?
The accurate real-time estimation of plasma insulin concentration will improve accuracy of computing the optimal dose of insulin to be infused and reduce the probability of hypoglycemia.This will also benefit the artificial pancreas systems by preventing over-delivery of insulin when significant insulin is present in the bloodstream.
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This page is a summary of: Adaptive and Personalized Plasma Insulin Concentration Estimation for Artificial Pancreas Systems, Journal of Diabetes Science and Technology, March 2018, SAGE Publications,
DOI: 10.1177/1932296818763959.
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