Granted Patent B2

US 12,362,838 · App. 18/211,101 · Granted Jul 15, 2025

Inventors: Marc D. Breton (Charlottesville, VA); Boris P. Kovatchev (Charlottesville, VA); Erwin S. Budiman (Fremont, CA); Kenneth J. Doniger (Menlo Park, CA)

Assignees: ABBOTT DIABETES CARE INC.; UNIVERSITY OF VIRGINIA PATENT FOUNDATION

H04B17/00A61B5/002A61B5/14503A61B5/14532A61B5/14546A61B5/1473A61B2560/0223G16H10/40G16H40/60G16H40/67

Abstract

Claims (33)

1. A system, comprising:

a sensor comprising:

a proximal portion configured to be positioned above a user's skin and to be electrically coupled with a processing unit and

a distal portion configured to be transcutaneously positioned through a user's skin and in contact with a biological fluid of the user, wherein the distal portion is configured to detect a lactate level in the biological fluid;

a data storage unit; and

the processing unit operatively coupled to the data storage unit and operatively coupled to the proximal portion, the processing unit programmed to:

perform a sliding window analysis on a set of lactate sensor data, wherein the set of lactate sensor data is taken over a first time period after initialization of a sensor, and wherein in performance of the sliding window analysis, the processing unit is programmed to:

extract a first sensor data characteristic for a first window of the set of lactate sensor data, wherein the first window starts at a first start time, ends at a first end time, and has a first duration less than the first time period; and

extract a second sensor data characteristic for a second window of the set of lactate sensor data, wherein the second window starts at a second start time after the first start time, ends at a second end time after the first end time, and has a second duration less than the first time period; and

determine a probable existence of a sensor current variance relative to a predetermined threshold based on the first and second sensor data characteristics.

2. The system of claim 1 , wherein the sensor current variance relative to a predetermined threshold comprise signal attenuation associated with a decline in lactate sensor sensitivity.

3. The system of claim 1 , wherein the second start time is before the first end time such that the first and second windows overlap.

4. The system of claim 1 , wherein the second start time is at the first end time.

5. The system of claim 1 , wherein the first and second windows are non-overlapping.

6. The system of claim 1 , wherein the first and second durations are the same.

7. The system of claim 1 , wherein the first sensor data characteristic is a mean value or a variance value.

8. The system of claim 1 , wherein the first sensor data characteristic is an average slope of a sensor signal.

9. The system of claim 1 , wherein the first sensor data characteristic is an average sensor life or a time elapsed since insertion of the sensor.

10. The system of claim 1 , wherein the first time period includes a time in the first twelve to twenty four hours after insertion of the sensor.

11. The system of claim 1 , wherein the lactate sensor data comprises glucose sensor data.

12. The system of claim 1 , wherein the lactate sensor data comprises lactate sensor data.

13. The system of claim 1 , wherein sensor current characteristics comprise a mean current and a current variance.

14. A system, comprising:

a sensor comprising:

a proximal portion configured to be positioned above a user's skin and to be electrically coupled with a processing unit and

a distal portion configured to be transcutaneously positioned through a user's skin and in contact with a biological fluid of the user, wherein the distal portion is configured to detect a lactate level in the biological fluid, the distal portion comprising a working electrode, a counter electrode, and a reference electrode;

a data storage unit; and

the processing unit operatively coupled to the data storage unit and operatively coupled to the proximal portion, the processing unit programmed to:

perform a sliding window analysis on a set of lactate sensor data, wherein the set of lactate sensor data is taken over a first time period after initialization of a sensor, and wherein in performance of the sliding window analysis, the processing unit is programmed to:

extract a first sensor data characteristic for a first window of the set of lactate sensor data, wherein the first window starts at a first start time, ends at a first end time, and has a first duration less than the first time period; and

extract a second sensor data characteristic for a second window of the set of lactate sensor data, wherein the second window starts at a second start time after the first start time, ends at a second end time after the first end time, and has a second duration less than the first time period; and

determine a probable existence of a sensor current variance relative to a predetermined threshold based on the first and second sensor data characteristics.

15. The system of claim 14 , wherein sensor current characteristics comprise a mean current and a current variance.

Assignments (4)

Continuity (7)

References Cited (400)