IP Library Granted Patent US 11,672,446
Granted Patent B2
US 11,672,446 · App. 16/359,611 · Granted Jun 13, 2023

Insulin delivery recommendations based on nutritional information

Inventors: Yaron Hadad (San Francisco, CA); Jonathan Lipnik (Ramat Gan, IL)
Assignee: MEDTRONIC MINIMED, INC.
A61B5/14532A61B5/0022G06F16/90324G06N20/00G16H20/60
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Quick Facts
Patent No.
US 11,672,446
App. No.
16/359,611
Granted
Jun 13, 2023
Kind
B2
Abstract

Disclosed herein are techniques related to insulin delivery recommendations based on nutritional information. In some embodiments, the techniques may involve obtaining user input indicative of quantitative information for a food item. The techniques may further involve determining, based on the user input, nutritional information for the food item. Additionally, the techniques may involve generating, based on the nutritional information, an insulin delivery recommendation.

Claims (31)

1. A system comprising:

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:

obtaining user input that includes textual input indicating quantitative information for a food item;

determining, based on the quantitative information for the food item, nutritional information for the food item, wherein the quantitative information for the food item is different from the nutritional information for the food item; and

generating, based on the nutritional information, an insulin delivery recommendation.

2. The system of claim 1 , wherein the nutritional information comprises a carbohydrate content of the food item.

3. The system of claim 1 , wherein generating the insulin delivery recommendation comprises accessing an equation modeling a relationship between carbohydrates and insulin.

4. The system of claim 1 , wherein the quantitative information includes a quantity, a serving size, or both for the food item.

5. The system of claim 1 , wherein the food item is to be consumed by a user of a wearable insulin delivery device.

6. The system of claim 1 , wherein the insulin delivery recommendation comprises bolus information.

7. The system of claim 1 , wherein the insulin delivery recommendation comprises a timing for insulin delivery.

8. A processor-implemented method comprising:

obtaining user input that includes textual input indicating quantitative information for a food item;

determining, based on the quantitative information for the food item, nutritional information for the food item, wherein the quantitative information for the food item is different from the nutritional information for the food item; and

generating, based on the nutritional information, an insulin delivery recommendation.

9. The processor-implemented method of claim 8 , wherein the nutritional information comprises a carbohydrate content of the food item.

10. The processor-implemented method of claim 8 , wherein generating the insulin delivery recommendation comprises accessing an equation modeling a relationship between carbohydrates and insulin.

11. The processor-implemented method of claim 8 , wherein the quantitative information includes a quantity, a serving size, or both for the food item.

12. The processor-implemented method of claim 8 , wherein the food item is to be consumed by a user of a wearable insulin delivery device.

13. The processor-implemented method of claim 8 , wherein the insulin delivery recommendation comprises bolus information.

14. The processor-implemented method of claim 8 , wherein the insulin delivery recommendation comprises a timing for insulin delivery.

15. One or more non-transitory processor-readable storage media storing instructions which, when executed by one or more processors, cause performance of:

Obtaining user input that includes textual input indicating quantitative information for a food item;

determining, based on the quantitative information for the food item, nutritional information for the food item, wherein the quantitative information for the food item is different from the nutritional information for the food item; and

generating, based on the nutritional information, an insulin delivery recommendation.

16. The one or more non-transitory processor-readable storage media of claim 15 , wherein the nutritional information comprises a carbohydrate content of the food item.

17. The one or more non-transitory processor-readable storage media of claim 15 , wherein generating the insulin delivery recommendation comprises accessing an equation modeling a relationship between carbohydrates and insulin.

18. The one or more non-transitory processor-readable storage media of claim 15 , wherein the quantitative information includes at least one of a group comprising a plurality of serving sizes.

19. The one or more non-transitory processor-readable storage media of claim 15 , wherein the insulin delivery recommendation comprises bolus information.

20. The one or more non-transitory processor-readable storage media of claim 15 , wherein the insulin delivery recommendation comprises a timing for insulin delivery.

Assignments (2)
SECURITY INTEREST Recorded Jan 16, 2026
From: MEDTRONIC MINIMED, INC.; COMPANION MEDICAL, INC.
To: CITIBANK, N.A.
Reel/Frame 074394/0237 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 6, 2020
From: HADAD, YARON; LIPNIK, JONATHAN
To: MEDTRONIC MINIMED, INC.
Reel/Frame 053992/0173 →
Continuity (3)
Provisional Application 62783100 · Dec 20, 2018
Provisional Application 62647552 · Mar 23, 2018
Related Publication 20190290172A1 · Sep 26, 2019
Cited By (4)
US 12,394,222 US 12,437,855 US 12,484,809 US 12,575,764