IP Library Granted Patent US 12,364,817
Granted Patent B2
US 12,364,817 · App. 18/644,410 · Granted Jul 22, 2025

Continuous analyte sensor quality measures and related therapy actions for an automated therapy delivery system

Inventors: Louis J. Lintereur (Boise, ID); Alexander S. Campbell (Encino, CA); Dmytro Y. Sokolovskyy (Moorpark, CA); Neha J. Parikh (Pleasanton, CA); Maria Diana Miller (Santa Rosa Valley, CA)
Assignee: MEDTRONIC MINIMED, INC.
A61M5/1723G16H10/40G16H20/17G16H40/67A61M2205/18A61M2205/3584A61M2205/50A61M2205/502A61M2205/505A61M2205/52A61M2205/581A61M2205/582A61M2205/583A61M2205/702A61M2230/201
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 12,364,817
App. No.
18/644,410
Granted
Jul 22, 2025
Kind
B2
Abstract

Techniques disclosed herein relate to continuous analyte sensor quality measures. In some embodiments, the techniques may involve obtaining a sensor-generated value that is indicative of a physiological characteristic of a user of a medical device. The techniques may further involve causing, in response to obtaining a sensor quality metric that indicates accuracy of the sensor-generated value, configuration of a quality-specific operating mode of the medical device, the quality-specific operating mode comprising regulation of basal and bolus deliveries of a fluid medication based on the obtained sensor quality metric.

Claims (28)

1. A processor-implemented method comprising:

obtaining a sensor-generated value that is indicative of a physiological characteristic of a user of a medical device; and

causing, in response to obtaining a sensor quality metric that indicates accuracy of the sensor-generated value, configuration of a quality-specific operating mode of the medical device, the quality-specific operating mode comprising regulation of basal and bolus deliveries of a fluid medication based on the obtained sensor quality metric.

2. The method of claim 1 , wherein the sensor quality metric is determined based on information generated by or derived from a continuous analyte sensor device.

3. The method of claim 2 , wherein the information comprises: sensor age data; raw sensor signal values; historical sensor-generated values produced in response to operation of the continuous analyte sensor device; or any combination thereof.

4. The method of claim 3 , wherein the sensor quality metric is determined based on a measurement noise associated with the raw sensor signal values.

5. The method of claim 3 , wherein the sensor quality metric is determined based on a change in the sensor-generated value that cannot be attributed to a natural physiological condition of the user.

6. The method of claim 1 , further comprising managing generation of user alerts at the medical device based on the obtained sensor quality metric.

7. The method of claim 6 , wherein a user alert of the user alerts prompts the user to calibrate a continuous analyte sensor device.

8. The method of claim 1 , wherein the quality-specific operating mode comprises separate regulation of the basal and bolus deliveries.

9. The method of claim 1 , further comprising causing regulation of fluid medication delivery from the medical device in accordance with the quality-specific operating mode of the medical device.

10. A system comprising:

one or more processors; and

one or more processor-readable media storing instructions which, when executed by one or more processors, cause performance of:

obtaining a sensor-generated value that is indicative of a physiological characteristic of a user of a medical device; and

causing, in response to obtaining a sensor quality metric that indicates accuracy of the sensor-generated value, configuration of a quality-specific operating mode of the medical device, the quality-specific operating mode comprising regulation of basal and bolus deliveries of a fluid medication based on the obtained sensor quality metric.

11. The system of claim 10 , wherein the sensor quality metric is determined based on information generated by or derived from a continuous analyte sensor device.

12. The system of claim 11 , wherein the information comprises: sensor age data; raw sensor signal values; historical sensor-generated values produced in response to operation of the continuous analyte sensor device; or any combination thereof.

13. The system of claim 12 , wherein the sensor quality metric is determined based on a measurement noise associated with the raw sensor signal values.

14. The system of claim 12 , wherein the sensor quality metric is determined based on a change in the sensor-generated value that cannot be attributed to a natural physiological condition of the user.

15. The system of claim 10 , wherein the instructions further cause performance of managing generation of user alerts at the medical device based on the obtained sensor quality metric.

16. The system of claim 15 , wherein a user alert of the user alerts prompts the user to calibrate a continuous analyte sensor device.

17. The system of claim 10 , wherein the quality-specific operating mode comprises separate regulation of the basal and bolus deliveries.

18. The system of claim 10 , wherein the instructions further cause performance of regulating fluid medication delivery from the medical device in accordance with the quality-specific operating mode of the medical device.

19. A processor-implemented method comprising:

obtaining a sensor-generated value that is indicative of a physiological characteristic of a user of a medical device; and

causing, in response to obtaining a sensor quality metric that indicates accuracy of the sensor-generated value, configuration of a quality-specific operating mode of the medical device, the quality-specific operating mode comprising regulation of basal and bolus deliveries of a fluid medication based on the obtained sensor quality metric such that an aggressiveness of the fluid medication delivery is related to the sensor quality metric.

20. The method of claim 19 , wherein the regulation of the basal deliveries of the fluid medication comprises delivery of the fluid medication at a less aggressive rate relative to a default rate responsive to the sensor quality metric being below a threshold.

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 Apr 24, 2024
From: LINTEREUR, LOUIS J.; CAMPBELL, ALEXANDER S.; SOKOLOVSKYY, DMYTRO Y.; PARIKH, NEHA J.; MILLER, MARIA DIANA
To: MEDTRONIC MINIMED, INC.
Reel/Frame 067215/0299 →
Continuity (3)
Continuation 18317877 · May 15, 2023
Continuation 16856838 · Apr 23, 2020
Related Publication 20240285855A1 · Aug 29, 2024
References Cited (134)
US 4562751A · Nason et al. · 1986 [cited by applicant]
US 4685903A · Cable et al. · 1987 [cited by applicant]
US 4755173A · Konopka et al. · 1988 [cited by applicant]
US 5080653A · Voss et al. · 1992 [cited by applicant]
US 5097122A · Colman et al. · 1992 [cited by applicant]
US 5391250A · Cheney, II et al. · 1995 [cited by applicant]
US 5485408A · Blomquist · 1996 [cited by applicant]
US 5505709A · Funderburk et al. · 1996 [cited by applicant]
US 5522803A · Teissen-Simony · 1996 [cited by applicant]
US 5665065A · Colman et al. · 1997 [cited by applicant]
US 5800420A · Gross et al. · 1998 [cited by applicant]
US 5807375A · Gross et al. · 1998 [cited by applicant]
US 5925021A · Castellano et al. · 1999 [cited by applicant]
US 5954643A · Vanantwerp et al. · 1999 [cited by applicant]
US 6017328A · Fischell et al. · 2000 [cited by applicant]
US 6088608A · Schulman et al. · 2000 [cited by applicant]
US 6119028A · Schulman et al. · 2000 [cited by applicant]
US 6186982B1 · Gross et al. · 2001 [cited by applicant]
US 6246992B1 · Brown · 2001 [cited by applicant]
US 6248067B1 · Causey, III et al. · 2001 [cited by applicant]
US 6248093B1 · Moberg · 2001 [cited by applicant]
US 6355021B1 · Nielsen et al. · 2002 [cited by applicant]
US 6379301B1 · Worthington et al. · 2002 [cited by applicant]
US 6485465B2 · Moberg et al. · 2002 [cited by applicant]
US 6544212B2 · Galley et al. · 2003 [cited by applicant]
US 6554798B1 · Mann et al. · 2003 [cited by applicant]
US 6558320B1 · Causey, III et al. · 2003 [cited by applicant]
US 6558351B1 · Steil et al. · 2003 [cited by applicant]
US 6589229B1 · Connelly et al. · 2003 [cited by applicant]
US 6591876B2 · Safabash · 2003 [cited by applicant]
US 6641533B2 · Causey, III et al. · 2003 [cited by applicant]
US 6659980B2 · Moberg et al. · 2003 [cited by applicant]
US 6736797B1 · Larsen et al. · 2004 [cited by applicant]
US 6740072B2 · Starkweather et al. · 2004 [cited by applicant]
US 6749587B2 · Flaherty · 2004 [cited by applicant]
US 6752787B1 · Causey, III et al. · 2004 [cited by applicant]
US 6766183B2 · Walsh et al. · 2004 [cited by applicant]
US 6801420B2 · Talbot et al. · 2004 [cited by applicant]
US 6804544B2 · Van et al. · 2004 [cited by applicant]
US 6817990B2 · Yap et al. · 2004 [cited by applicant]
US 6827702B2 · Lebel et al. · 2004 [cited by applicant]
US 6932584B2 · Gray et al. · 2005 [cited by applicant]
US 7003336B2 · Holker et al. · 2006 [cited by applicant]
US 7029444B2 · Shin et al. · 2006 [cited by applicant]
US 7066909B1 · Peter et al. · 2006 [cited by applicant]
US 7137964B2 · Flaherty · 2006 [cited by applicant]
US 7303549B2 · Flaherty et al. · 2007 [cited by applicant]
US 7323142B2 · Pendo et al. · 2008 [cited by applicant]
US 7399277B2 · Saidara et al. · 2008 [cited by applicant]
US 7402153B2 · Steil et al. · 2008 [cited by applicant]
US 7442186B2 · Blomquist · 2008 [cited by applicant]
US 7602310B2 · Mann et al. · 2009 [cited by applicant]
US 7621893B2 · Moberg et al. · 2009 [cited by applicant]
US 7647237B2 · Malave et al. · 2010 [cited by applicant]
US 7699807B2 · Faust et al. · 2010 [cited by applicant]
US 7727148B2 · Talbot et al. · 2010 [cited by applicant]
US 7785313B2 · Mastrototaro · 2010 [cited by applicant]
US 7806886B2 · Kanderian, Jr. et al. · 2010 [cited by applicant]
US 7819843B2 · Mann et al. · 2010 [cited by applicant]
US 7828764B2 · Moberg et al. · 2010 [cited by applicant]
US 7879010B2 · Hunn et al. · 2011 [cited by applicant]
US 7890295B2 · Shin et al. · 2011 [cited by applicant]
US 7892206B2 · Moberg et al. · 2011 [cited by applicant]
US 7892748B2 · Norrild et al. · 2011 [cited by applicant]
US 7901394B2 · Ireland et al. · 2011 [cited by applicant]
US 7942844B2 · Moberg et al. · 2011 [cited by applicant]
US 7946985B2 · Mastrototaro et al. · 2011 [cited by applicant]
US 7955305B2 · Moberg et al. · 2011 [cited by applicant]
US 7963954B2 · Kavazov · 2011 [cited by applicant]
US 7977112B2 · Burke et al. · 2011 [cited by applicant]
US 7979259B2 · Brown · 2011 [cited by applicant]
US 7985330B2 · Wang et al. · 2011 [cited by applicant]
US 8024201B2 · Brown · 2011 [cited by applicant]
US 8100852B2 · Moberg et al. · 2012 [cited by applicant]
US 8114268B2 · Wang et al. · 2012 [cited by applicant]
US 8114269B2 · Cooper et al. · 2012 [cited by applicant]
US 8137314B2 · Mounce et al. · 2012 [cited by applicant]
US 8181849B2 · Bazargan et al. · 2012 [cited by applicant]
US 8182462B2 · Istoc et al. · 2012 [cited by applicant]
US 8192395B2 · Estes et al. · 2012 [cited by applicant]
US 8195265B2 · Goode, Jr. et al. · 2012 [cited by applicant]
US 8202250B2 · Stutz, Jr. · 2012 [cited by applicant]
US 8207859B2 · Enegren et al. · 2012 [cited by applicant]
US 8226615B2 · Bikovsky · 2012 [cited by applicant]
US 8257259B2 · Brauker et al. · 2012 [cited by applicant]
US 8267921B2 · Yodfat et al. · 2012 [cited by applicant]
US 8275437B2 · Brauker et al. · 2012 [cited by applicant]
US 8277415B2 · Mounce et al. · 2012 [cited by applicant]
US 8292849B2 · Bobroff et al. · 2012 [cited by applicant]
US 8298172B2 · Nielsen et al. · 2012 [cited by applicant]
US 8303572B2 · Adair et al. · 2012 [cited by applicant]
US 8305580B2 · Aasmul · 2012 [cited by applicant]
US 8308679B2 · Hanson et al. · 2012 [cited by applicant]
US 8313433B2 · Cohen et al. · 2012 [cited by applicant]
US 8318443B2 · Norrild et al. · 2012 [cited by applicant]
US 8323250B2 · Chong et al. · 2012 [cited by applicant]
US 8343092B2 · Rush et al. · 2013 [cited by applicant]
US 8352011B2 · Van et al. · 2013 [cited by applicant]
US 8353829B2 · Say et al. · 2013 [cited by applicant]
US 8474332B2 · Bente, IV et al. · 2013 [cited by applicant]
US 8674288B2 · Hanson et al. · 2014 [cited by applicant]
US 9457146B2 · Dobbles et al. · 2016 [cited by applicant]
US 9533096B2 · Lebel et al. · 2017 [cited by applicant]
US 9757510B2 · Finan · 2017 [cited by applicant]
US 11583631B2 · Campbell et al. · 2023 [cited by applicant]
US 11690955B2 · Lintereur et al. · 2023 [cited by applicant]
US 11744947B2 · Damiano · 2023 [cited by examiner]
US 11998721B2 · Lintereur et al. · 2024 [cited by applicant]
US 20070123819A1 · Mernoe et al. · 2007 [cited by applicant]
US 20100160861A1 · Causey, III et al. · 2010 [cited by applicant]
US 20140066889A1 · Grosman et al. · 2014 [cited by applicant]
US 20140182350A1 · Bhavaraju et al. · 2014 [cited by applicant]
US 20170348483A1 · Duke et al. · 2017 [cited by applicant]
US 20180185578A1 · Monirabbasi et al. · 2018 [cited by applicant]
US 20190133506A1 · Ringemann · 2019 [cited by applicant]
US 20210060249A1 · Golenberg et al. · 2021 [cited by applicant]
US 20210330882A1 · Campbell et al. · 2021 [cited by applicant]
US 20210330883A1 · Lintereur et al. · 2021 [cited by applicant]
US 20230277768A1 · Lintereur et al. · 2023 [cited by applicant]
CN 115426946A · 2022 [cited by applicant]
EP 4138656A1 · 2023 [cited by applicant]
WO 2021216155A1 · 2021 [cited by applicant]
“Assessing Sensor Accuracy for Non-Adjunct Use of Continuous Glucose Monitoring,” Boris P. Kovatchev, PhD,1 Stephen D. Patek, PhD,2 Edward Andrew ORtiz, MD, and Marc D. Breton, PhD1, Diabetes Technology & Therapeutics v… [cited by examiner]
International Search Report and Written Opinion dated Apr. 12, 2021, in Application No. PCT/US2021/015057. [cited by applicant]
U.S. Advisory Action dated Jan. 20, 2023 in U.S. Appl. No. 16/856,838. [cited by applicant]
U.S. Final office Action dated Oct. 27, 2022 in U.S. Appl. No. 16/856,838. [cited by applicant]
U.S. Non-Final Office Action dated Dec. 7, 2023 in U.S. Appl. No. 18/317,877. [cited by applicant]
U.S. Non-Final Office Action dated Jul. 11, 2022, in U.S. Appl. No. 16/856,838. [cited by applicant]
U.S. Notice of Allowance dated Aug. 23, 2022 in U.S. Appl. No. 16/856,830. [cited by applicant]
U.S. Notice of Allowance dated Dec. 16, 2022 in U.S. Appl. No. 16/856,830. [cited by applicant]
U.S. Notice of Allowance dated Feb. 5, 2024 in U.S. Appl. No. 18/317,877. [cited by applicant]
U.S. Notice of Allowance dated Feb. 21, 2023 in U.S. Appl. No. 16/856,838. [cited by applicant]
U.S. Notice of Allowance dated Jun. 5, 2023, in U.S. Appl. No. 16/856,838. [cited by applicant]
EP Office Action dated Mar. 18, 2025 in EP Application No. 21707830.2. [cited by applicant]