Intermittent monitoring

US11998322B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11998322-B2
Application numberUS-201916717834-A
CountryUS
Kind codeB2
Filing dateDec 17, 2019
Priority dateDec 19, 2018
Publication dateJun 4, 2024
Grant dateJun 4, 2024

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

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.

First claim

Opening claim text (preview).

What is claimed is: 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 pati

Assignees

Inventors

Classifications

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

  • Monitoring the patient using a local or closed circuit, e.g. in a room or building (A61B5/0017 takes precedence) · CPC title

  • Monitoring a patient using a global network, e.g. telephone networks, internet · CPC title

  • Determining activity level · CPC title

  • for measuring analytes not otherwise provided for, e.g. ions, cytochromes · CPC title

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What does patent US11998322B2 cover?
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 …
Who is the assignee on this patent?
Dexcom Inc
What technology area does this patent fall under?
Primary CPC classification A61B5/14532. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Jun 04 2024 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).