The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 06, 2023

Filed:

Apr. 14, 2020
Applicant:

Medtronic Minimed, Inc., Northridge, CA (US);

Inventors:

Elaine Gee, Windsor, CA (US);

Peter Ajemba, Canyon Country, CA (US);

Bahman Engheta, Santa Monica, CA (US);

Jeffrey Nishida, Chicago, IL (US);

Andrea Varsavsky, Santa Monica, CA (US);

Keith Nogueira, Mission Hills, CA (US);

Assignee:

MEDTRONIC MINIMED, INC., Northridge, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 40/40 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01); G16H 50/20 (2018.01); G16H 40/67 (2018.01); G16H 10/60 (2018.01); G16H 20/17 (2018.01); G16H 70/60 (2018.01); G06N 3/088 (2023.01); A61B 5/00 (2006.01); A61B 5/145 (2006.01); G06N 3/045 (2023.01); A61M 5/172 (2006.01);
U.S. Cl.
CPC ...
G16H 40/40 (2018.01); A61B 5/0022 (2013.01); A61B 5/1451 (2013.01); A61B 5/14532 (2013.01); A61B 5/7253 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); G06N 3/045 (2023.01); G06N 3/088 (2013.01); G16H 10/60 (2018.01); G16H 20/17 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01); G16H 70/60 (2018.01); A61B 2560/0223 (2013.01); A61B 2560/0228 (2013.01); A61M 5/1723 (2013.01); A61M 2205/3303 (2013.01); A61M 2205/50 (2013.01); A61M 2205/52 (2013.01); A61M 2205/70 (2013.01); A61M 2230/201 (2013.01);
Abstract

Medical devices and related systems and methods are provided. A method of estimating a physiological condition involves determining a translation model based at least in part on relationships between first measurement data corresponding to instances of a first sensing arrangement and second measurement data corresponding to instances of a second sensing arrangement, obtaining third measurement data associated with the second sensing arrangement, determining simulated measurement data for the first sensing arrangement by applying the translation model to the third measurement data, and determining an estimation model for a physiological condition using the simulated measurement data, wherein the estimation model is applied to subsequent measurement output provided by an instance of the first sensing arrangement to obtain an estimated value for the physiological condition.


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