Medtronic Minimed, Inc.

Martin T Cantwell

Garry M Steil

Udo Hoss

Sami S Kanderian, Jr

H Bud Clark

Jr Kanderian Sami S

Bud H Clark

Disclosed herein are techniques related to model predictive control. The techniques may involve generating a desired glucose trajectory that approaches a desired steady state setpoint from a current glucose value over a prediction horizon. The techniques may involve generating a plurality of insulin delivery patterns. Each insulin delivery pattern may correspond to an amount of insulin to be delivered over a control horizon. The techniques may involve generating a plurality of predicted glucose trajectories over the control horizon. Each predicted glucose may be generated based on the current glucose value and a respective insulin delivery pattern. The techniques may involve comparing the desired glucose trajectory against each predicted glucose trajectory and selecting a predicted glucose trajectory that is more similar to the desired glucose trajectory than any other predicted glucose trajectory. The techniques may involve determining an insulin delivery pattern used to generate the selected predicted glucose trajectory.

Model predictive control for diabetes management

A system and method for controlling and monitoring a diabetes-management system through the use of a model that predicts or estimates future dynamic states of glucose and insulin from variables such as insulin delivery or exogenous glucose appearance as well as inherent physiological parameters. The model predictive estimator can be used as an insulin bolus advisor to give an apriori estimate of postprandial glucose for a given insulin delivery profile administered with a known meal to optimize insulin delivery; as a supervisor to monitor the operation of the diabetes-management system; and as a model predictive controller to optimize the automated delivery of insulin into a user's body to achieve a desired blood glucose profile or concentration. Open loop, closed-loop, and semi-closed loop embodiments of the invention utilize a mathematical metabolic model that includes a Minimal Model, a Pump Delivery to Plasma Insulin Model, and a Meal Appearance Rate Model.

Model predictive method and system for controlling and supervising insulin infusion

A method and/or system may be provided for determining a suggested change in a recommended therapy for a patient based, at least in part, on sensor measurements, and generating an alert to an attendant in a hospital environment upon detection of the suggested change. A method and/or system may also be provided to automatically determine a maximum interval to alert an attendant following receipt of a measurement at an operator interface. A method and/or system may also be provided to blood-glucose sensor calibration.

Closed-loop glucose and/or insulin control system

Disclosed are a method and/or system for determining a suggested change in a recommended therapy for a patient based, at least in part, on sensor measurements, and generating an alert to an attendant in a hospital environment upon detection of the suggested change. In another embodiment, a method and/or system is directed to automatically determining a maximum interval to alert an attendant following receipt of a measurement at an operator interface. In yet another embodiment, a method and/or system is directed to blood-glucose sensor calibration.

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Canyon Country, CA, United States of America

Martin T Cantwell