Abstract:
Infusion systems, infusion devices, and related operating methods are provided. An exemplary method of operating an infusion device to deliver fluid to a body of a user involves obtaining measurement values for a physiological condition influenced by the fluid, autonomously operating the infusion device to deliver the fluid based at least in part on the measurement values, and detecting a nonactionable condition based on the measurement values. In response to detecting the nonactionable condition, delivery of the fluid is limited while maintaining autonomous operation of the infusion device. In one exemplary embodiment, the nonactionable condition is a rescue condition indicative of the user having consumed fast-acting carbohydrates, and thus insulin delivery may be automatically limited in response to detecting the rescue carbohydrate consumption.
Abstract:
A method for providing blood glucose data is provided. In response to a suspension of a continuous basal insulin delivery, by an insulin delivery pump, the method identifies a condition indicating continuing hypoglycemia that continues when basal insulin delivery is suspended; and performs an action, by the insulin delivery pump, based on identifying the condition.
Abstract:
Apparatus are provided for medical devices and related operating systems and methods. An exemplary medical device includes a motor, one or more data storage elements to maintain control information, and a control module coupled to the motor and the one or more data storage elements. The control module is configured to obtain updated control information via a peer-to-peer communication session over a network, store the updated control information in the one or more data storage elements, and thereafter operate the motor based at least in part on the updated control information.
Abstract:
A controller for an insulin infusion device includes a processor device and a memory element that cooperate to provide a processor-implemented closed-loop insulin limit module. The insulin limit module is operated to obtain: a fasting blood glucose value of a user; a total daily insulin value of the user; and fasting insulin delivery data that is indicative of insulin delivered to the user during a fasting period. The insulin limit module calculates a maximum insulin infusion rate for the user based on the fasting blood glucose value, the total daily insulin value, and the fasting insulin delivery data. The maximum insulin infusion rate is applicable during a period of closed-loop operation of the insulin infusion device.
Abstract:
An electronic controller for an insulin infusion device includes at least one processor device and at least one memory element that cooperate to provide a processor-implemented closed-loop initiation module. The initiation module is operated to obtain a most recent calibration factor for a continuous glucose sensor, the most recent calibration factor representing a first conversion value applicable to convert a first sensor value to a first blood glucose value. The initiation module also obtains a prior calibration factor for the sensor, and calibration timestamp data for the most recent calibration factor and the prior calibration factor. The initiation module regulates entry into a closed-loop operating mode of the insulin infusion device, based on the most recent calibration factor, the prior calibration factor, and the calibration timestamp data.
Abstract:
An insulin infusion device includes a processor architecture, and a memory element that stores executable instructions to perform a method of controlling delivery of insulin to a user. The method operates the device in a closed-loop mode to deliver insulin, obtains patient-specific parameters for a current time sample, and estimates a plasma insulin value and a blood glucose value for the user based on at least some of the patient-specific parameters. The estimating is also based on a previously estimated plasma insulin value obtained for a previous time sample, and a previously estimated blood glucose value obtained for the previous time sample. A predicted sensor glucose value is generated for the current time sample, and the closed-loop mode or a safe basal mode is selected for controlling operation of the insulin infusion device in accordance with the selected mode.
Abstract:
A controller for an insulin infusion device includes a processor device and a memory element that cooperate to provide a processor-implemented closed-loop insulin limit module. The insulin limit module is operated to obtain: a fasting blood glucose value of a user; a total daily insulin value of the user; and fasting insulin delivery data that is indicative of insulin delivered to the user during a fasting period. The insulin limit module calculates a maximum insulin infusion rate for the user based on the fasting blood glucose value, the total daily insulin value, and the fasting insulin delivery data. The maximum insulin infusion rate is applicable during a period of closed-loop operation of the insulin infusion device.
Abstract:
An electronic device includes a processor architecture and a memory element that stores instructions that, when executed by the processor architecture, perform a method of controlling an insulin infusion device for a user. The method operates the device in a closed-loop mode to deliver insulin to the user, obtains current insulin-delivered data and current glucose sensor data for the user, and processes historical insulin-delivered data and historical sensor data, to obtain predicted sensor glucose values for a historical time period. The method continues by calculating a difference between the current sensor glucose value and a predicted current sensor glucose value for the most recent sampling period. An alert is generated when the difference exceeds a threshold error amount.
Abstract:
Disclosed are techniques related to determination of adjustments to fluid delivery settings. The techniques may involve accessing an input meal size category, where the input meal size category is selected from among a plurality of meal size categories via a user interface; accessing a plurality of groups of historical meal events for a person, where each group of the plurality of groups is associated with a respective meal size category of the plurality of meal size categories and includes respective historical meal events for the person categorized in the respective meal size category; identifying a group, in the plurality of groups of historical meal events for the person, having an associated meal size category that matches the input meal size category; identifying a person-specific carbohydrate amount representative of the historical meal events in the identified group; and determining a bolus dosage value of insulin based on the person-specific carbohydrate amount.
Abstract:
Techniques disclosed herein relate to continuous analyte sensor quality measures. In some embodiments, the techniques may involve obtaining a sensor-generated value that is indicative of a physiological characteristic of a user of a medical device. The techniques may further involve causing, in response to obtaining a sensor quality metric that indicates accuracy of the sensor-generated value, configuration of a quality-specific operating mode of the medical device, the quality-specific operating mode comprising regulation of basal and bolus deliveries of a fluid medication based on the obtained sensor quality metric.