Intelligent prediction-based glucose alarm devices, systems, and methods

Patent metadata

Field	Value
Publication number	US-2021068723-A1
Application number	US-201916565997-A
Country	US
Kind code	A1
Filing date	Sep 10, 2019
Priority date	Sep 10, 2019
Publication date	Mar 11, 2021
Grant date	—

Abstract

Glucose-related alarms may be generated based on glucose predictions, which may be short-to-medium term. The glucose predictions, in turn, may be computed based on a multiplicity of input data sources which may be indicative of the current and future states of the user, as well as the user's infusion pump and overall glucose management system. The input data may include, e.g., meal information, motion/exercise information, insulin information, glucose, and pump- and sensor-related metrics. In addition, the computed glucose predictions may be based on the system's expected insulin-delivery response. The computed glucose predictions inform the determination as to whether, when, and how, to sound a certain glucose alarm, or display a certain glucose alert to the user.

First claim

1 - 21 . (canceled)

22 . A method of providing an actionable notification to a user of a glucose management system including an infusion device and a sensor device, the method comprising:
measuring, by the sensor device, a glucose level of the user of the glucose management system; generating, by the infusion device, a predicted glucose profile for the user based on the glucose level and based on meal information, activity information, and insulin information; determining, by the infusion device, whether the predicted glucose profile is expected to reach an acceptable level within an expected time window, wherein the predicted glucose profile is expected to reach an acceptable level when the user's glucose level is expected to reach a therapy target range within the expected time window; making a determination, by the infusion device, as to whether a notification should be generated to alert the user when the predicted glucose profile is not expected to reach an acceptable level within the expected time window; and providing, by the infusion device, the notification to the user when the notification is generated.

23 . The method of claim 22 , further comprising storing glucose levels over time, and wherein generating the predicted glucose profile for the user includes generating the predicted glucose profile based on both the glucose level and one or more glucose levels stored over time.

24 . The method of claim 22 , wherein the meal information includes carbohydrate amount information for one or more of a previously consumed meal, a planned meal, and a meal currently being consumed by the user.

25 . The method of claim 22 , wherein the meal information includes one or more of a time at which a meal was consumed by the user and a time at which a planned meal is expected to be consumed by the user.

26 . The method of claim 22 , wherein the activity information includes one or more of a type and duration of exercise previously engaged in by the user, expected to be engaged in by the user, and currently being engaged in by the user.

27 . The method of claim 22 , wherein the insulin information includes an amount of insulin that was previously delivered to the user, an amount of insulin currently being delivered to the user, or both.

28 . The method of claim 22 , wherein the insulin information includes an insulin delivery pattern.

29 . The method of claim 22 , wherein the glucose management system further includes a display.

30 . The method of claim 29 , further comprising displaying the predicted glucose profile to the user on the display.

31 . The method of claim 29 , further comprising displaying, in real time on the display, trending information for the predicted glucose profile.

32 . The method of claim 29 , wherein providing the notification to the user includes displaying the notification to the user on the display, sounding an alarm, or both.

33 . The method of claim 22 , wherein generating the predicted glucose profile for the user includes generating the predicted glucose profile based on the current state of the glucose management system.

34 . The method of claim 33 , wherein the current state of the glucose management system includes one or more of the sensor device's calibration status, the sensor device's connection status, and a battery level of the glucose management system.

35 . The method of claim 33 , wherein the current state of the glucose management system includes an amount of insulin remaining in the infusion device.

36 . The method of claim 33 , wherein the current state of the glucose management system includes sensor reliability metrics.

37 . The method of claim 22 , wherein the infusion device is an insulin pump, and the glucose management system is a closed-loop system.

38 . The method of claim 22 , further comprising generating a plurality of predicted glucose profiles, wherein each predicted glucose profile of the plurality of predicted glucose profiles corresponds to a respective predetermined time interval within the expected time window.

39 . The method of claim 22 , further comprising calculating an expected amount of insulin to be delivered to the user based on the predicted glucose profile, and wherein the determination as to whether the notification should be generated is additionally made based on the expected amount of insulin to be delivered to the user.

40 . The method of claim 22 , further comprising assigning a priority value to the notification based on the predicted glucose profile.

41 . The method of claim 40 , herein the priority value is periodically reevaluated.

42 . A glucose management system including an infusion device and a sensor device, the glucose management system configured to perform the method of claim 22 .

Assignees

• Medtronic Minimed Inc

Inventors

• Balkan Ayca
• Grosman Benyamin
• Miller Maria Diana
• Sokolovskyy Dmytro Y

Classifications

• A61B5/7275

  Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor · CPC title

• A61B5/746

  Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms · CPC title

• A61B5/1495

  Calibrating or testing of in-vivo probes · CPC title

• A61B5/14532 Primary

  for measuring glucose, e.g. by tissue impedance measurement · CPC title

• G16H50/30

  for calculating health indices; for individual health risk assessment · CPC title