TECHNIQUES FOR IMPROVED AUTOMATIC DRUG DELIVERY PERFORMANCE USING DELIVERY TENDENCIES FROM PAST DELIVERY HISTORY AND USE PATTERNS

    公开(公告)号:US20210187197A1

    公开(公告)日:2021-06-24

    申请号:US17123378

    申请日:2020-12-16

    Abstract: Disclosed are devices, a system, methods and computer-readable medium products that provide techniques to implement functionality to determine when to softened upper bounds of drug delivery and how much to soften the upper bound. Future blood glucose measurement values may be predicted by calculating deviations between predicted blood glucose measurement values and additional blood glucose measurement values. A gain parameter may be determined for use with a model of predicting a user's blood glucose measurement values and determining future drug dosages. Safety constraints may be determined based on an evaluation of missing blood glucose measurement values. In addition, safety constraints may be determined based on an evaluation of a user's increased interaction with an automatic drug delivery device. A bolus uncertainty metric to determine an amount of insulin to be provided in a bolus dosage in response to a bolus request may be calculated.

    AUTOMATED MEDICAMENT DELIVERY SYSTEM MANAGEMENT WITHOUT ANALYTE MEASUREMENTS

    公开(公告)号:US20250132007A1

    公开(公告)日:2025-04-24

    申请号:US18909496

    申请日:2024-10-08

    Abstract: A medicament delivery system, process and techniques are provided. The medicament delivery system may include a wearable medicament delivery device, a memory storing programming instructions, and a processor. The processor may be operable to execute the programming instructions, which cause the processor to receive an available medicament delivery history of a user, and determine whether the available medicament delivery history spans an extent of time greater than a first glucose history duration. The processor, in response to a determination that the extent of time spanned by the available medicament delivery history is greater than the first glucose history duration, determines an average daily medicament delivered. The processor calculates a trust value of the available medicament delivery history, and utilizes the trust value to determine a total daily medicament value of the user.

    SAFETY CONSTRAINTS FOR A CONTROL ALGORITHM BASED DRUG DELIVERY SYSTEM

    公开(公告)号:US20240399059A1

    公开(公告)日:2024-12-05

    申请号:US18804372

    申请日:2024-08-14

    Abstract: Disclosed are a system, methods and computer-readable medium products that provide safety constraints for an insulin-delivery management program. Various examples provide safety constraints for a control algorithm-based drug delivery system that provides automatic delivery of a drug based on sensor input. Glucose measurement values may be received at regular time intervals from a sensor. A processor may predict future glucose values based on prior glucose measurement values. The safety constraints assist in safe operation of the drug delivery system during various operational scenarios. In some examples, predicted future glucose values may be used to implement safety constraints that mitigate under-delivery or over-delivery of the drug while not overly burdening the user of the drug delivery system and without sacrificing performance of the drug delivery system. Other safety constraints are also disclosed.

    METHODS TO INCORPORATE SUBJECTIVE USER GLUCOSE CONCENTRATION FEEDBACK IN AUTOMATED INSULIN DELIVERY SYSTEMS

    公开(公告)号:US20240325640A1

    公开(公告)日:2024-10-03

    申请号:US18618579

    申请日:2024-03-27

    CPC classification number: A61M5/1723 G16H20/17

    Abstract: A drug delivery system including a memory storing programming code operable to control delivery of a drug, a user interface operable to accept an input indicating a perceived glucose state of a user, and a processor operable to execute the programming code. When executed, the programming code causes the processor to: receive a perceived state signal from the user interface indicating the perceived glucose state of the user, evaluate the perceived glucose state of the user indicated by the perceived state signal using a glucose measurement value corresponding in time to when the perceived state signal was received, determine an adjustment to a drug delivery algorithm, and utilize the adjustment in a determination of a drug delivery dosage to be administered to a user.

    PREDICTION OF MEAL AND/OR EXERCISE EVENTS BASED ON PERSISTENT RESIDUALS

    公开(公告)号:US20240307618A1

    公开(公告)日:2024-09-19

    申请号:US18675900

    申请日:2024-05-28

    CPC classification number: A61M5/1723 A61M5/14244 A61M2205/52 A61M2230/201

    Abstract: Exemplary embodiments provide an approach to predicting meal and/or exercise events for an insulin delivery system that otherwise does not otherwise identify such events. The insulin delivery system may use a model of glucose insulin interactions that projects estimated future glucose values based on the history of glucose values and insulin deliveries for the user. The predictions of meal events and/or exercise events may be based on residuals between actual glucose values and predicted glucose values. The exemplary embodiments may calculate a rate of change of the residuals over a period of time and compare the rate of change to thresholds to determine whether there likely has been a meal event or an exercise event. The insulin delivery system may then take measures to account for the meal or exercise by the user.

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