Abstract
To improve type 1 diabetes mellitus (T1DM) management, we developed a model predictive control (MPC) algorithm for closed-loop (CL) glucose control based on a linear second-order deterministic-stochastic model. The deterministic part of the model is specified by three patient-specific parameters: insulin sensitivity factor, insulin action time, and basal insulin infusion rate. The stochastic part is identical for all patients but identified from data from a single patient. Results of the first clinical feasibility test of the algorithm are presented.
| Original language | English |
|---|---|
| Journal | Journal of diabetes science and technology |
| Volume | 7 |
| Issue number | 5 |
| Pages (from-to) | 1255-64 |
| Number of pages | 10 |
| ISSN | 1932-2968 |
| Publication status | Published - Sept 2013 |
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