US 11,938,303 B2
Sensor measurement value calibration using sensor calibration data and a performance model
Steven C. Jacks, Culver City, CA (US); Peter Ajemba, Canyon Country, CA (US); Akhil Srinivasan, Woodland Hills, CA (US); Jacob E. Pananen, Agoura Hills, CA (US); Sarkis Aroyan, Northridge, CA (US); Pablo Vazquez, Porter Ranch, CA (US); Tri T. Dang, Winnetka, CA (US); Ashley N. Sullivan, Canton, MA (US); and Raghavendhar Gautham, Northridge, CA (US)
Assigned to MEDTRONIC MINIMED, INC., Northridge, CA (US)
Filed by MEDTRONIC MINIMED, INC., Northridge, CA (US)
Filed on Dec. 14, 2022, as Appl. No. 18/066,212.
Application 18/066,212 is a continuation of application No. 16/569,417, filed on Sep. 12, 2019, granted, now 11,565,044.
Prior Publication US 2023/0110585 A1, Apr. 13, 2023
Int. Cl. A61B 5/1495 (2006.01); A61B 5/145 (2006.01); A61M 5/142 (2006.01); A61M 5/172 (2006.01); A61B 5/00 (2006.01); G16H 20/17 (2018.01)
CPC A61M 5/1723 (2013.01) [A61B 5/14532 (2013.01); A61B 5/1495 (2013.01); A61M 5/14244 (2013.01); A61B 5/4839 (2013.01); A61B 2560/0223 (2013.01); A61B 2560/0238 (2013.01); A61M 2005/14208 (2013.01); G16H 20/17 (2018.01)] 18 Claims
OG exemplary drawing
 
1. A processor-implemented method, comprising:
obtaining one or more electrical signals from a sensing element of a sensing arrangement, wherein the one or more electrical signals are influenced by a physiological condition in a body of a patient, and wherein the sensing element is at least partially inserted into the body of the patient;
obtaining, from a data storage element of the sensing arrangement, calibration data associated with the sensing element, wherein the calibration data associated with the sensing element is determined based on estimated fabrication process measurement data for the sensing element and a calibration model that predicts output measurement parameters of the sensing element for a certain physiological condition as a function of fabrication process measurement parameters of the sensing element;
converting, using the calibration data, the one or more electrical signals into one or more calibrated measurement parameters;
obtaining a performance model associated with the sensing element;
obtaining personal data associated with the patient; and
determining, using the performance model and based on the personal data and the one or more calibrated measurement parameters, a calibrated output value indicative of the physiological condition.