From the series: MathWorks Research Summit
Nicola Paoletti, Department of Computer Science, Royal Holloway, University of London (UK)
Automated insulin delivery, a.k.a. the artificial pancreas (AP), has the potential to revolutionize Type-1 diabetes (T1D) therapy by improving glucose control and reducing the burden of self-care. The design of a fully closed-loop insulin controller is, however, still challenging because the blood glucose (BG) levels to control are significantly affected by unknown disturbances related to the patient behavior; namely, meals and physical activity. Accurate insulin control is also made difficult by the fact that glucose measurements are taken underneath the skin, and thus are delayed with respect to the BG due to physiological transport dynamics.
The discussion gives an overview of current T1D therapy practice and the challenges behind closed-loop insulin control and presents an AP system design—implemented and evaluated in MATLAB®—that addresses these challenges through the integration of control techniques and data-driven models of patient behavior, showing simulation results on virtual patient models.
This research was conducted by the speaker while at the Department of Computer Science, Stony Brook University (USA).
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