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:
Jan. 02, 2024

Filed:

Oct. 07, 2022
Applicant:

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

Inventors:

Andrea Varsavsky, Santa Monica, CA (US);

Yunfeng Lu, Granada Hills, CA (US);

Keith Nogueira, Mission Hills, CA (US);

Jeffrey Nishida, Los Angeles, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61M 5/172 (2006.01); G16H 40/63 (2018.01); G16H 40/40 (2018.01); G16H 50/20 (2018.01); G16H 10/60 (2018.01); G16H 50/50 (2018.01); G16H 20/17 (2018.01); A61B 5/145 (2006.01); A61B 5/00 (2006.01); G16H 15/00 (2018.01); A61M 5/142 (2006.01); A61B 5/024 (2006.01);
U.S. Cl.
CPC ...
A61M 5/1723 (2013.01); A61B 5/14532 (2013.01); A61B 5/4839 (2013.01); G16H 10/60 (2018.01); G16H 20/17 (2018.01); G16H 40/40 (2018.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); A61B 5/0022 (2013.01); A61B 5/02438 (2013.01); A61B 5/7239 (2013.01); A61B 5/7242 (2013.01); A61B 2560/0242 (2013.01); A61B 2562/0219 (2013.01); A61M 5/14244 (2013.01); A61M 2205/3569 (2013.01); A61M 2205/502 (2013.01); A61M 2205/52 (2013.01); A61M 2205/70 (2013.01); A61M 2230/005 (2013.01); A61M 2230/06 (2013.01); A61M 2230/201 (2013.01); G16H 15/00 (2018.01);
Abstract

A processor-implemented method comprises obtaining current operational context information associated with a sensing device; obtaining an expected calibration factor parameter model associated with a patient; calculating an expected calibration factor value based on the expected calibration factor parameter model and the current operational context information; obtaining one or more electrical signals from the sensing device, the one or more electrical signals having a signal characteristic indicative of a physiological condition; converting the one or more electrical signals into a calibrated measurement value for the physiological condition using the expected calibration factor value; and outputting the calibrated measurement value for the physiological condition.


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