US 11,890,080 B2
Self-calibrating glucose monitor
Richard J. O'Brien, Hugo, MN (US); Lilian Kornet, Eijsden (NL); Richard N. Cornelussen, Maastricht (NL); Alfonso Aranda Hernandez, Shoreview, MN (US); and Raphael Schneider, Maastricht (NL)
Assigned to MEDTRONIC, INC., Minneapolis, MN (US)
Filed by Medtronic, Inc., Minneapolis, MN (US)
Filed on Feb. 23, 2023, as Appl. No. 18/173,570.
Application 18/173,570 is a continuation of application No. 17/168,761, filed on Feb. 5, 2021, granted, now 11,607,140.
Prior Publication US 2023/0190116 A1, Jun. 22, 2023
Int. Cl. A61B 5/02 (2006.01); A61B 5/0205 (2006.01); A61B 5/1495 (2006.01); A61B 5/318 (2021.01); A61B 5/36 (2021.01); A61B 5/358 (2021.01); A61B 5/355 (2021.01); A61B 5/1455 (2006.01); A61B 5/00 (2006.01); A61B 5/145 (2006.01); G16H 50/20 (2018.01); A61B 5/352 (2021.01); A61B 5/024 (2006.01)
CPC A61B 5/0205 (2013.01) [A61B 5/1455 (2013.01); A61B 5/1495 (2013.01); A61B 5/14532 (2013.01); A61B 5/318 (2021.01); A61B 5/352 (2021.01); A61B 5/355 (2021.01); A61B 5/358 (2021.01); A61B 5/36 (2021.01); A61B 5/6802 (2013.01); G16H 50/20 (2018.01); A61B 5/02405 (2013.01); A61B 2560/0223 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A medical system comprising:
sensing circuitry configured to sense a cardiac characteristic of a patient; and
processing circuitry configured to:
receive a current cardiac signal indicative of the cardiac characteristic from the sensing circuitry, wherein the current cardiac signal is indicative of a current cardiac characteristic of the patient, and
determine a representative glucose level using a machine learning algorithm and the current cardiac signal,
wherein, previous to determining the representative glucose level, the machine learning algorithm was trained using one or more training data sets including a training input vector and a training output vector, wherein the training input vector is representative of a cardiac signal and the training output vector is representative of a glucose level associated with the cardiac signal.