47 results about "Insulin delivery device" patented technology

A system and method may be used to calculate insulin on board (IOB) for an extended bolus being delivered by an insulin infusion pump. In general, the system and method calculates an extended bolus IOB value for the extended bolus, which takes into account the insulin currently on board from the extended bolus and the insulin scheduled to be delivered by the extended bolus over a subsequent time period equivalent to a duration of insulin action. The extended bolus IOB value may be used to calculate a suggested bolus.

Method and System for providing a signal from an insulin pump, artificial pancreas, or another insulin delivery device as a source of information for improving the accuracy of a continuous glucose sensor (CGS). The effect of using insulin information to enhance sensor accuracy is most prominent at low blood glucose levels, i.e. in the hypoglycemic range, which is critical for any treatment. A system for providing a filtering / state estimation methodology that may be used to determine a glucose state estimate at time t-τ. The estimation may be extrapolated to some future time t and then the extrapolated value is used to extract the blood glucose component. The blood glucose component of the extrapolation and the output of the CGS are weighted and used to estimate the blood glucose level of a subject.

A machine for processing continuous glucose monitoring data and issuing an alert if hypoglycemia is imminent has three modules: (a) a pre-processing module that receives and modulates continuous glucose monitoring data by reducing noise and adjusting for missed data points and shifts due to calibration; (b) a core algorithm module that receives data from the pre-processing module and calculates a rate of change to make a hypoglycemia prediction, and determine if hypoglycemia is imminent; and (c) an alarm mode module that receives data from the core algorithm and issues an audio or visual alert or warning message or a negative feedback signal to an insulin delivery device if hypoglycemia is imminent.

Methods, devices and a system for disease management are provided that employ diagnostic testing devices (e.g., blood glucose meters) and medication delivery devices (e.g., insulin delivery devices) for providing data to a repository in real-time and automatically. Repository data can be analyzed to determine such information as actual test strip use, patient health parameters to outside prescribed ranges, testing and medication delivery compliance, patient profiles or stakeholders to receive promotional items or incentives, and so on. Connected meters and medication delivery devices and repository data analysis are also employed to associate a diagnostic test to a mealtime based on timing of a therapeutic intervention performed by an individual.

The invention relates to a mechanical drive system for a medical infusion device. The disclosed drive system employs a flexible tape with recesses or holes that are configured to mate with tabs or protrusions on a gear to advance the rotation of the gear at a rate determined by the pattern of recesses or holes on the flexible tape.

A system is provided with an insulin delivery device configured to deliver insulin to a user of the system and a computer-based control unit associated with the insulin delivery device. The computer-based control unit includes a user interface and a computer-based processor. The computer-based processor is configured to calculate a relative insulin on board value for a specific time by calculating a first value that represents a reference insulin on board value at the specific time, calculating a second value that represents an automated insulin on board value at the specific time, and subtracting one of the first and second values from the other. The automated insulin on board value represents at least one insulin delivery automatically specified by the computer-based control unit. Methods of use are also disclosed.

A method of facilitating delivery of a discretionary dose of insulin to a user includes: enabling the user or a caregiver to specify, via a computer-based user interface, parameters associated with a discretionary delivery of insulin that may be delivered to the user; subsequently receiving data that represents the user's glucose level during a period of time associated with the discretionary delivery; automatically determining, with a computer-based processor, based on the received data, if, when and how much discretionary insulin should be delivered to the user during the period of time associated with the discretionary delivery; delivering insulin to the user during the period of time associated with the discretionary delivery according to the automatic determination; and delivering insulin to the user with the insulin delivery device according to a non-discretionary insulin delivery schedule unless a discretionary insulin delivery mode has been triggered.

The embodiments described herein may relate to methods and systems for adjusting insulin delivery. Some methods and systems may be configured to adjust insulin delivery to personalize automated insulin delivery for a person with diabetes. Some methods and systems may be configured to adjust insulin delivery to a person with diabetes according to one or more conditions of an insulin delivery device. Some methods and systems may be configured to enable a lock-out mode where adjustment to insulin delivery to personalize automated insulin delivery is restricted.

A decision support system includes a measurement device configured to continuously measure a physiological parameter of a patient. An insulin delivery device provides insulin to the patient per an initial basal profile and the parameter measurements. A storage device holds historical data of insulin delivery to the patient. A processor determines deviations of the delivery of insulin from the basal profile for one or more time period(s) using the historical data, computes a respective first basal-profile adjustment for each of the one or more time period(s) using the determined deviations, and annunciates the computed first basal-profile adjustment(s). A method of recommending a basal-rate adjustment includes measuring the parameter, infusing the patient with insulin and storing the historical data, determining the deviations from the basal profile, computing the first basal-profile adjustments, and annunciating the computed first basal-profile adjustment(s).

Systems, methods, and devices provide alarms and alerts in an on-body networked diabetes management system. Methods may include receiving glucose sensor data from a continuous glucose monitor and determining a dosage of insulin delivery based at least in part on the glucose sensor data. The method may include detecting an alarm or alert condition, and sending a wireless communication regarding the alarm or alert condition to a remote user-interface device. The method may include triggering an audible, visual, or haptic alarm or alert on the insulin delivery device unless an acknowledgement of the alarm or alert condition is received within a predetermined period of time.

A biocompatible insulin delivery device is provided comprising an insulin reservoir sealed with a glucose-responsive plug or membrane. The plug functions to release insulin from the reservoir in response to a hyperglycemic glucose concentration and to prevent insulin release from the reservoir in response to hypoglycemic glucose concentration. In one embodiment, the plug is made of a biocompatible polymeric matrix comprising an inorganic component, a stimulus-responsive component and a catalytic component.

An electronic insulin delivery device receives glucose data from a glucose monitor and sets a bolus dose amount. The device may take the form of an insulin pen with automatic priming and accurate dosing provided by a motor in connection with an encoder. The device may communicate with and be controlled by a smart phone device. The smart phone device provides a user interface to receive user data including patient weight, insulin to carbohydrate ratio and exercise factor, and to send instructions to the device, including dose amount. The dose amount is determined taking into account glucose level and trend, and other factors. The delivery device may be in continuous communication with the glucose monitor and smart phone to provide for near real-time adjustments in glucose treatment. Glucose data, insulin injection data, and other relevant data may be stored and accessible to interested parties.