IP Library › Granted Patent US 11,998,322
Granted Patent B2
US 11,998,322 · App. 16/717,834 · Granted Jun 4, 2024

Intermittent monitoring

Inventors: Apurv Ullas Kamath (San Diego, CA); Margaret A. Crawford (Encinitas, CA); John Michael Gray (San Diego, CA); Hari Hampapuram (San Diego, CA); Matthew Lawrence Johnson (Solana Beach, CA); Subrai Girish Pai (San Diego, CA); Shawn Clay Sanders (San Diego, CA); Sumitaka Mikami (San Diego, CA)
Assignee: Dexcom, Inc.
A61B5/14532A61B5/002A61B5/0022A61B5/1118A61B5/14546A61B5/1455A61B5/7267A61B5/742A61B5/7475A61M5/1723G06F11/1004G16H10/60G16H40/67A61B5/0205A61B5/02438A61B2560/0209A61B2560/0214G16H20/17
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Quick Facts
Patent No.
US 11,998,322
App. No.
16/717,834
Granted
Jun 4, 2024
Kind
B2
Abstract

Various examples are directed to systems and methods for patient monitoring. An example method comprises receiving an estimated glucose concentration level of the patient from a continuous glucose monitoring (CGM) system for a first time period. The method may also include receiving non-glucose information relating to the patient for the first time period and determining a relationship between the estimated glucose concentration level and the non-glucose information. The method may also include receiving non-glucose information relating to the patient for a second time period and determining diabetic information about the patient for the second time period based upon the determined relationship and the non-glucose information. The method may include electronically delivering a notification about the diabetic information.

Claims (47)

1. A method comprising:

during a first time period, monitoring glucose concentrations of a patient continuously measured by a continuous glucose monitoring (CGM) system worn by the patient, the monitoring comprising receiving a plurality of first glucose information of the patient from the CGM system, wherein the plurality of first glucose information is indicative of the glucose concentrations of the patient at a plurality of times during the first time period;

during the first time period, receiving a plurality of first non-glucose information of the patient from an activity monitor worn by the patient, wherein the plurality of first non-glucose information is indicative of physical activity of the patient corresponding to the plurality of times during the first time period;

determining relationships between the plurality of first glucose information and the plurality of first non-glucose information by correlating the physical activity of the patient with corresponding impacts on the glucose concentrations of the patient as the glucose concentrations vary;

determining, during a second time period, that glucose information from the CGM system is not available;

during the second time period in which glucose information from the CGM system is not available, receiving second non-glucose information of the patient from the activity monitor worn by the patient, wherein the second non-glucose information is indicative of physical activity of the patient corresponding to the second time period;

estimating, in real time, second glucose information of the patient for the second time period based upon the second non-glucose information of the patient and the determined relationships between the plurality of first glucose information and the plurality of first non-glucose information; and

electronically delivering, during the second time period, a notification about the second glucose information.

2. The method of claim 1 , further comprising:

receiving additional non-glucose information of the patient for the first time period, wherein the additional non-glucose information is different than the plurality of first non-glucose information; and

determining a relationship between the plurality of first glucose information, the plurality of first non-glucose information, and the additional non-glucose information, wherein the estimating second glucose information is based at least in part on the determined relationship.

3. The method of claim 1 , wherein the plurality of first non-glucose information that is indicative of physical activity of the patient and the second non-glucose information that is indicative of physical activity of the patient each include physiologic information about the patient.

4. The method of claim 3 , wherein the physiologic information includes at least one of heart rate, respiration, oxygen concentration, skin tone, moisture content on skin, activity, activity patterns, blood ketones, urine ketones, respiration, or acoustic information.

5. The method of claim 1 , wherein the plurality of first non-glucose information and the second non-glucose information each further include location information.

6. The method of claim 1 , wherein the estimating second glucose information includes determining an estimated glucose concentration level.

7. The method of claim 1 , wherein the estimating second glucose information includes determining an estimate of an amount or percentage of time that a glucose concentration level was in range during a specified time period.

8. The method of claim 1 , wherein the plurality of first non-glucose information of the patient comprises first activity data received from the activity monitor worn by the patient during the first time period and the determining relationships comprises correlating the first activity data with the plurality of first glucose information of the patient.

9. The method of claim 8 , wherein the activity monitor comprises a watch.

10. The method of claim 1 , further comprising tuning a glucose-estimation algorithm based on the determined relationships between the plurality of first glucose information and the plurality of first non-glucose information, wherein the estimating second glucose information comprises using the tuned glucose-estimation algorithm.

11. The method of claim 10 , further comprising:

monitoring the glucose concentrations of the patient during a third time period, the monitoring the glucose concentrations of the patient during the third time period comprising receiving a plurality of third glucose information of the patient from the CGM system, wherein the plurality of third glucose information is indicative of the glucose concentrations of the patient at a plurality of times during the third time period;

during the third time period, receiving a plurality of third non-glucose information of the patient from the activity monitor, wherein the plurality of third non-glucose information is indicative of physical activity of the patient corresponding to the plurality of times during the third time period; and

tuning the glucose-estimation algorithm based on a determined relationship between the plurality of third glucose information and the plurality of third non-glucose information.

12. The method of claim 10 , further comprising periodically tuning the glucose-estimation algorithm based on additional glucose information received from the CGM system during one or more subsequent time periods and additional non-glucose information received from the activity monitor during the one or more subsequent time periods.

13. The method of claim 1 , wherein the plurality of first non-glucose information and the second non-glucose information each comprise activity data.

14. The method of claim 1 , wherein the plurality of first non-glucose information and the second non-glucose information each comprise a same type of information, the same type of information comprising at least one of the following:

a number of steps;

an indicator of activity type;

an indicator of activity intensity; and

an indicator of an amount of time of activity.

15. The method of claim 1 , wherein the first time period comprises one of 3 days, 7 days, 10 days, 14 days, 30 days, 1 month, or 3 months.

16. The method of claim 1 , wherein the plurality of first glucose information and the second glucose information each comprise at least one glucose concentration level.

17. A non-transitory computer-readable medium comprising instructions thereon that, when executed by at least one processor, causes the at least one processor to perform operations comprising:

during a first time period, monitoring glucose concentrations of a patient continuously measured by a continuous glucose monitoring (CGM) system adapted to be worn by the patient, the monitoring comprising receiving a plurality of first glucose information of the patient from the CGM system, wherein the plurality of first glucose information is indicative of the glucose concentrations of the patient at a plurality of times during the first time period;

during the first time period, receiving a plurality of first non-glucose information of the patient from an activity monitor adapted to be worn by the patient, wherein the plurality of first non-glucose information is indicative of physical activity of the patient corresponding to the plurality of times during the first time period;

determining relationships between the plurality of first glucose information and the plurality of first non-glucose information by correlating the physical activity of the patient with corresponding impacts on the glucose concentrations of the patient as the glucose concentrations vary;

determining, during a second time period, that glucose information from the CGM system is not available;

during the second time period in which glucose information from the CGM system is not available, receiving second non-glucose information of the patient from the activity monitor, wherein the second non-glucose information is indicative of physical activity of the patient corresponding to the second time period;

estimating, in real time, second glucose information of the patient for the second time period based upon the second non-glucose information of the patient and the determined relationships between the plurality of first glucose information and the plurality of first non-glucose information; and

electronically delivering, during the second time period, a notification about the second glucose information.

18. The non-transitory computer-readable medium of claim 17 , the operations further comprising:

determining guidance based at least in part on the second glucose information; and

displaying the guidance at a user interface.

19. The non-transitory computer-readable medium of claim 17 , the operations further comprising:

receiving additional non-glucose information of the patient for the first time period, wherein the additional non-glucose information is different than the plurality of first non-glucose information; and

determining a relationship between the plurality of first glucose information, the plurality of first non-glucose information, and the additional non-glucose information, wherein the estimating second glucose information is based at least in part on the determined relationship.

20. The non-transitory computer-readable medium of claim 17 , wherein the activity monitor comprises a watch.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 25, 2020
From: KAMATH, APURV ULLAS; CRAWFORD, MARGARET A.; GRAY, JOHN MICHAEL; HAMPAPURAM, HARI; JOHNSON, MATTHEW LAWRENCE; PAI, SUBRAI GIRISH; SANDERS, SHAWN CLAY; MIKAMI, SUMITAKA
To: DEXCOM, INC.
Reel/Frame 053591/0968 →
Continuity (2)
Provisional Application 62782291 · Dec 19, 2018
Related Publication 20200196922A1 · Jun 25, 2020