Animas Corporation

Lifescan IP Holdings, LLC

Thomas McCann, Jr

Daniel Finan

Thomas Schaible

Jorge Capurro

Ramakrishna Venugopalan

Systems and methods for diabetes management with automatic basal and manual bolus insulin control are presented. An exemplary system includes a delivery device, a glucose sensor, and a controller. The delivery device delivers insulin and the glucose sensor measures glucose levels of the subject. A basal insulin dose is calculated using a model predictive control algorithm and physiological data of the subject including desired glucose levels, amounts of the delivered insulin and the measured glucose levels. A manual bolus insulin dose is initiated by the subject. The manual bolus insulin dose is modified based on one or both of the model predictive control algorithm and the physiological data of the subject. A total insulin dose is determined based on the modified manual bolus insulin dose and the calculated basal insulin dose, and delivered to the subject.

Diabetes management system with automatic basal and manual bolus insulin control

Described and illustrated is a system for management of diabetes that includes an infusion pump, glucose sensor and controller with a method programmed into the controller. The infusion pump is configured to deliver insulin to a subject. The glucose sensor is configured to sense glucose levels in the subject and provide output signals representative of the glucose levels in the subject. The controller is programmed to switchover from one mode of MPC control based on a predetermined range of blood glucose values to another MPC mode based on a predetermined target.

Method and system for a hybrid control-to-target and control-to-range model predictive control of an artificial pancreas

Methods and systems for controlling an insulin pump in response to glucose measurements are responsive to a base insulin delivery profile and a temporary insulin delivery profile. These can be used, e.g., to control blood glucose level of a subject using a continuous glucose monitor and an insulin infusion pump. During a selected time range, an insulin amount for the pump to supply is determined using the temporary insulin delivery profile. Outside that time range, the insulin amount is determined using the base insulin delivery profile. The temporary insulin delivery profile can specify an exact amount to be supplied (a 'hard' profile), a nominal amount to be supplied if doing so does not drive glucose out of a desired zone ('soft'), or a soft profile with a minimum amount of insulin to be delivered (&#x201c;semi-soft&#x201d;).

Method and system for closed-loop control of an artificial pancreas

Described and illustrated is a system for management of diabetes that includes an infusion pump, glucose sensor and controller with a method programmed into the controller. The infusion pump is configured to deliver insulin to a subject. The glucose sensor is configured to sense glucose levels in the subject and provide output signals representative of the glucose levels in the subject. The controller is programmed receives signals from at least one of the glucose sensor and the pump and configured to issue signals to the pump to deliver an amount of insulin determined by a feedback controller that utilizes a model predictive control of the subject based on desired glucose levels, insulin amount delivered and measured glucose levels of the subject. The controller is also configured to deliver insulin using a tuning factor based on either one of an omission index module or a calibration index module.

Method and system for tuning a closed-loop controller for an artificial pancreas

Described and illustrated is a system for management of diabetes that includes an infusion pump, glucose sensor and controller with a method programmed in the controller. The infusion pump is configured to deliver insulin. The glucose sensor senses glucose levels in the subject and provide output signals representative of the glucose levels in the subject. The controller is programmed receives signals from at least one of the glucose sensor and the pump and configured to issue signals to the pump to deliver an amount of insulin determined by a feedback controller that utilizes a model predictive control based on desired glucose levels, insulin amount delivered and measured glucose levels of the subject. The controller is also configured to deliver insulin using a tuning factor (R) for a model predictive controller in the microcontroller as a conservative setting otherwise the system maintains a current tuning factor (R) for the controller.

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Pottstown, PA, United States of America

Thomas McCann, Jr