IP Library › Granted Patent US 12,283,361
Granted Patent B2
US 12,283,361 · App. 17/736,813 · Granted Apr 22, 2025

Methods and devices for burden-free blood glucose management with minimal user interaction

Inventor: Lane Desborough (Thousand Oaks, CA)
Assignee: NUDGE BG, INC.
G16H20/17A61M5/14248A61M5/1723G05B23/0272G16H40/40G16H40/67A61M2205/18A61M2205/3584A61M2205/502A61M2230/201
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,283,361
App. No.
17/736,813
Granted
Apr 22, 2025
Kind
B2
Abstract

Some embodiments include burden-free insulin delivery systems and methods. Some embodiments include a method comprising: receiving previous insulin delivery data at a user device from an insulin pump; receiving estimated glucose data at the user device from a continuous glucose monitor; determining that the estimated glucose value is approaching or has passed a threshold; and in response to determining that the estimated glucose value is approaching or has surpassed the threshold, not providing an indication to the user through a user interface that the estimated glucose value is approaching or surpassed the threshold.

Claims (41)

1. A method comprising:

receiving previous insulin delivery data at a user device from an insulin pump;

receiving at the user device estimated glucose data from a continuous glucose monitor; and

determining an insulin delivery amount based on the previous insulin delivery data and the estimated glucose data;

communicating instructions to an insulin pump to deliver the insulin delivery amount;

not providing data representative of the estimated glucose data or the insulin delivery data to a user through a user interface of the user device.

2. The method according to claim 1 , wherein determining the insulin delivery amount based on the previous insulin delivery data and the estimated glucose data includes determining the insulin delivery amount to bring the estimated glucose data closer to a target glucose value.

3. The method according to claim 2 , wherein determining the insulin delivery amount based on the previous insulin delivery data and the estimated glucose data includes determining the insulin delivery amount without using any user-specific behavioral data physically entered by a user through a user interface of a device within a previous period of time.

4. The method according to claim 3 , wherein the previous period of time is less than 6 hours.

5. The method according to claim 3 , wherein the previous period of time is less than 120 minutes.

6. The method according to claim 1 , wherein the data representative of the estimated glucose data comprises at least one of a value, a graph, and/or a trend line.

7. The method according to claim 1 , wherein the user interface is part a mobile device.

8. The method according to claim 1 , further comprising determining an insulin delivery amount and communicating the insulin delivery amount to the insulin pump.

9. The method according to claim 1 , wherein the user device and the insulin pump comprise a single device.

10. A non-transitory computer-readable medium storing instructions that, when executed by a mobile computing device, cause the mobile computing device to:

receive at the computing device estimated glucose data from a continuous glucose monitor;

determine at the computing device that the estimated glucose value is approaching or has passed a threshold;

determine an insulin delivery amount based on the previous insulin delivery data and the estimated glucose data;

communicate instructions to an insulin pump to deliver the insulin delivery amount; and

not provide an indication to the user through a user interface of the computing device that the estimated glucose value is approaching or surpassed the threshold.

11. The non-transitory computer-readable medium according to claim 10 , wherein determining an insulin delivery amount based on the previous insulin delivery data and the estimated glucose data includes determining the insulin delivery amount to bring the estimated glucose data closer to a target glucose value.

12. The non-transitory computer-readable medium according to claim 10 , wherein determining an insulin delivery amount based on the previous insulin delivery data and the estimated glucose data includes determining the insulin delivery amount without using user-specific data that is physically entered by a user through a user interface of the mobile computing device within the previous period of time.

13. The non-transitory computer-readable medium according to claim 12 , wherein the previous period of time is less than 6 hours.

14. The non-transitory computer-readable medium according to claim 12 , wherein the previous period of time is less than 120 minutes.

15. The non-transitory computer-readable medium according to claim 10 , wherein the indication is an alarm or an alert.

16. The non-transitory computer-readable medium according to claim 10 , wherein the user interface is part the mobile computing device.

17. A method comprising:

receiving previous insulin delivery data at a user device from an insulin pump;

receiving at the user device estimated glucose data from a continuous glucose monitor;

determining at the user device either or both a glucose trend or a glucose pattern; and

in response to determining either or both the glucose trend or the glucose pattern, not displaying an indication of the trend or the pattern to a user through a user interface of the user device.

18. The method according to claim 17 , wherein determining an insulin delivery amount based on the previous insulin delivery data and the estimated glucose data includes determining the insulin delivery amount to bring the estimated glucose data closer to a target glucose value.

19. The method according to claim 17 , wherein determining an insulin delivery amount based on the previous insulin delivery data and the estimated glucose data includes determining the insulin delivery amount without using any user-specific behavioral data physically entered by a user through a user interface of a device within a previous period of time.

20. The method according to claim 19 , wherein the previous period of time is less than 6 hours.

21. The method according to claim 20 , wherein the either or both a glucose trend or a glucose pattern comprises a prediction of future estimated glucose in the user's blood.

22. The method according to claim 21 , wherein the either or both a glucose trend or a glucose pattern comprises one of increasing glucose levels or decreasing glucose levels.

23. The method according to claim 17 , wherein the indication is a graphical representation of the trend or the pattern.

24. The method according to claim 17 , wherein the indication is an alert or an alarm.

25. The method according to claim 17 , wherein the user interface is part of a mobile device.

26. The method according to claim 17 , further comprising determining an insulin delivery amount and communicating the insulin delivery amount to the insulin pump.

27. The method according to claim 17 , wherein the user device and the insulin pump comprise a single device.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 5, 2022
From: DESBOROUGH, LANE
To: NUDGE BG, INC.
Reel/Frame 059818/0602 →
Continuity (5)
Continuation 17403518 · Aug 16, 2021
Continuation 17149598 · Jan 14, 2021
Provisional Application 62962178 · Jan 16, 2020
Provisional Application 62962179 · Jan 16, 2020
Related Publication 20220262478A1 · Aug 18, 2022
References Cited (20)
US 9878097B2 · Estes · 2018 [cited by applicant]
US 11101030B2 · Desborough · 2021 [cited by examiner]
US 11942202B2 · Desborough · 2024 [cited by applicant]
US 20080021666A1 · Goode, Jr. et al. · 2008 [cited by applicant]
US 20090006034A1 · Hayter et al. · 2009 [cited by applicant]
US 20110184267A1 · Duke et al. · 2011 [cited by applicant]
US 20120226259A1 · Yodfat et al. · 2012 [cited by applicant]
US 20170086756A1 · Harper et al. · 2017 [cited by applicant]
US 20170189614A1 · Mazlish et al. · 2017 [cited by applicant]
US 20170203036A1 · Mazlish et al. · 2017 [cited by applicant]
Restriction Requirement in U.S. Appl. No. 17/149,611 dated Dec. 15, 2023, 7 pages. [cited by applicant]
Notice of Allowance in U.S. Appl. No. 17/403,518 dated Dec. 20, 2023, 9 pages. [cited by applicant]
Invitation to Pay Additional Fees as issued in connection with International Patent Application No. PCT/US2021/013496, mailed Mar. 9, 2021, 2 pages. [cited by applicant]
Non-Final Office Action in U.S. Appl. No. 17/149,598 dated Mar. 30, 2021, 10 pages. [cited by applicant]
International Search Report and Written Opinion as issued in connection with International Patent Application No. PCTUS2021/013496, mailed May 13, 2021, 11 pages. [cited by applicant]
Notice of Allowance in U.S. Appl. No. 17/149,598 dated May 25, 2021, 9 pages. [cited by applicant]
International Preliminary Report on Patentability as issued in connection with International Patent Application No. PCT/US2021/013496, mailed Jul. 19, 2022, 7 pages. [cited by applicant]
Non-Final Office Action in U.S. Appl. No. 17/403,518 dated Sep. 8, 2023, 18 pages. [cited by applicant]
Non-Final Office Action in U.S. Appl. No. 17/149,611 dated Jul. 18, 2024, 08 pages. [cited by applicant]
Non-Final Office Action in U.S. Appl. No. 17/736,825 dated Aug. 13, 2024, 11 pages. [cited by applicant]