USER-CONFIGURABLE CLOSED-LOOP NOTIFICATIONS AND INFUSION SYSTEMS INCORPORATING SAME

    公开(公告)号:US20220118182A1

    公开(公告)日:2022-04-21

    申请号:US17646616

    申请日:2021-12-30

    Abstract: A system includes one or more processors, and one or more processor-readable storage media storing instructions which, when executed by the one or more processors, cause performance of: switching operation of an infusion device from a first mode of fluid delivery to a second mode of fluid delivery, the first mode being different from the second mode, receiving user input after the infusion device is operating in the second mode, the user input being indicative of whether the infusion device should remain operating in the second mode or transition from the second mode to a different mode, and operating the infusion device in a manner that is influenced by the user input.

    AUTOMATIC DEVICE CONFIGURATION
    43.
    发明申请

    公开(公告)号:US20220031947A1

    公开(公告)日:2022-02-03

    申请号:US16944069

    申请日:2020-07-30

    Abstract: Methods and systems are provided for configuring therapy settings of a medical device for a specific patient. Patient data input via a non-medical device can be received. A value of a total daily dose of insulin for the specific patient can be obtained from the patient data. Based upon the value of the total daily dose, a set of therapy settings for the specific patient can be computed. The medical device can be automatically programmed with the set of therapy settings to complete set up of the medical device so that the medical device is configured for the specific patient.

    DETERMINATION OF ADJUSTMENTS TO FLUID DELIVERY SETTINGS

    公开(公告)号:US20220031946A1

    公开(公告)日:2022-02-03

    申请号:US17504568

    申请日:2021-10-19

    Abstract: Disclosed herein are techniques related to determination of adjustments to fluid delivery settings. In some embodiments, the techniques may involve accessing insulin delivery data for a user of an insulin delivery device. The insulin delivery data may be indicative of an amount of insulin delivered by the insulin delivery device to the user during a time period. The techniques may also involve analyzing the insulin delivery data to generate an updated insulin sensitivity factor (ISF) value. The techniques may further involve generating, based on the updated ISF value, a recommendation to adjust an ISF value of the insulin delivery device. Additionally, the techniques may involve causing adjustment of the ISF value to the updated ISF value in accordance with the recommendation.

    Infusion systems and related personalized bolusing methods

    公开(公告)号:US11191899B2

    公开(公告)日:2021-12-07

    申请号:US16547512

    申请日:2019-08-21

    Abstract: Infusion systems, infusion devices, and related operating methods are provided. A method of operating an infusion device involves obtaining an input qualitative event attribute, such as a meal size, obtaining a quantitative event attribute associated with the qualitative event attribute that is representative of a subset of historical events for a patient associated with the qualitative event attribute, such as a representative carbohydrate amount for the qualitative meal size, and thereafter determine a dosage of fluid based at least in part on the quantitative event attribute and operate the infusion device to deliver the dosage of the fluid to the patient.

    METHOD AND SYSTEM FOR TRAINING A MATHEMATICAL MODEL BASED ON LABELED EVENTS AND/OR LABELED EVENT COMBINATIONS

    公开(公告)号:US20210183491A1

    公开(公告)日:2021-06-17

    申请号:US17120055

    申请日:2020-12-11

    Abstract: Technologies are provided for training a mathematical model based on labeled events and/or labeled event combinations. A database can store detected events as labeled events and different combinations of the detected events as labeled event combinations. Each can include a label and a probability of an increased insulin delivery demand or a decreased insulin delivery demand for that particular detected event or that particular combination of detected events. An adaptation process can retrieve selected ones of the labeled events and the labeled event combinations from the database. A mathematical model can be trained based on the selected ones of the labeled events and the labeled event combinations to generate an adapted mathematical model of the user that simulates a physiological blood glucose response of the user in response to the selected ones of the labeled events and labeled event combinations.

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