Parameter Estimation in Type 2 Diabetes in the Presence of Unannounced Meals and Unmodelled Disturbances

Mohamad Al Ahdab, Henrik Glavind Clausen, Torben Knudsen, Tinna Bjork Aradottir, Signe Schmidt, Kirsten Norgaard, John Leth

Abstract

A least squares strategy to estimate states and parameters for type 2 diabetes (T2D) patients based only on continuous glucose measurements and injected insulin in the presence of unannounced meals and disturbances, e.g., physical activity and stress, is presented. The strategy is based on a simple T2D patient model and tested with clinical data in addition to simulated data generated by using jump diffusion models for meals and disturbances. Three parameters are estimated together with the states, meals, and disturbances. The estimated meal states were shown to follow the trend of the unannounced meals. The strategy can be used to obtain a model with the estimated parameters for predictive control design. In addition, the strategy can also be used to test different insulin and meal plans with the estimated disturbances and parameters. Moreover, the paper demonstrates the ability of jump diffusion models to simulate meals and disturbances.

OriginalsprogEngelsk
Titel2021 European Control Conference, ECC 2021
Antal sider6
ForlagInstitute of Electrical and Electronics Engineers Inc.
Publikationsdato2021
Sider1277-1282
ISBN (Elektronisk)9789463842365
DOI
StatusUdgivet - 2021
Begivenhed2021 European Control Conference, ECC 2021 - Delft, Holland
Varighed: 29 jun. 20212 jul. 2021

Konference

Konference2021 European Control Conference, ECC 2021
Land/OmrådeHolland
ByDelft
Periode29/06/202102/07/2021
Navn2021 European Control Conference, ECC 2021

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