Glycemie_2 - Optimization and implementation of a control system aiming the normalization of glycemia of critically ill patients

From 01-01-2008 to 31-12-2011

Description

Critically ill patients, typically admitted to the intensive care unit, show hyperglycemia and insulin resistance resulting in adverse outcomes. It has been previously shown that strict blood glucose control (between 80 and 110 mg/dl) results in an important reduction in mortality and morbidity. Current therapy requires a manual and rigorous administration of insulin and could, therefore, be replaced by a semi- or fully-automatic blood glucose control system leading to a potential decrease of the workload of the medical staff. In this project the basic predictive control system, that has recently been developed and that comprises a patient "model" and a "controller", will be refined. First of all, the prediction performance of the dynamic model will be increased (e.g., with the design of a more optimal adaptive algorithm for parameter estimation). Next, the performance of the existing controller will be improved (e.g., by implementing a moving horizon estimator). Moreover, the analysis of the glucose sensor measurement errors will be incorporated in the control system to further increase its efficiency. Finally, the designed control system will be validated in a real-life intensive care unit setting.

Team

• Bart De Moor, Promoter
• Tom Van Herpe, Team member

Financing

Funding: FWO - Research Foundation - Flanders

Program/Grant Type: FWO Research Grant - FWO Research Grant