US 11,806,137 B2
Real-time meal detection based on sensor glucose and estimated plasma insulin levels
Anirban Roy, Agoura Hills, CA (US); Benyamin Grosman, Winnetka, CA (US); and Neha J. Parikh, West Hills, CA (US)
Assigned to MEDTRONIC MINIMED, INC., Northridge, CA (US)
Filed by MEDTRONIC MINIMED, INC., Northridge, CA (US)
Filed on May 9, 2023, as Appl. No. 18/314,791.
Application 18/314,791 is a continuation of application No. 18/060,268, filed on Nov. 30, 2022.
Claims priority of provisional application 63/285,042, filed on Dec. 1, 2021.
Prior Publication US 2023/0277097 A1, Sep. 7, 2023
Int. Cl. A61B 5/145 (2006.01); A61M 5/172 (2006.01); G16H 20/17 (2018.01); A61B 5/00 (2006.01); G16H 40/63 (2018.01); A61B 5/1486 (2006.01); A61M 5/142 (2006.01)
CPC A61B 5/14532 (2013.01) [A61B 5/14865 (2013.01); A61B 5/7475 (2013.01); A61M 5/1723 (2013.01); G16H 20/17 (2018.01); G16H 40/63 (2018.01); A61M 2005/14208 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for automatic real-time meal detection, the system comprising:
one or more processors; and
one or more processor-readable media storing instructions which, when executed by the one or more processors, cause performance of one or more operations including:
obtaining a plurality of glucose concentration values and a plurality of plasma insulin concentration estimations, each glucose concentration value of the plurality of glucose concentration values corresponding in time with a respective plasma insulin concentration estimation of the plurality of plasma insulin concentration estimations to form a plurality of time-corresponding pairs of glucose concentration values and plasma insulin concentration estimations;
generating an output based on applying a meal detection model to the plurality of glucose concentration values and the plurality of plasma insulin concentration estimations; and
determining, based on the output, that a glucose concentration value of the plurality of glucose concentration values corresponds to an ongoing glycemic response to a meal.