US 11,944,430 B2
Multi-sensor diabetes management system
Bin Mi, Arden Hills, MN (US); Pramodsingh Hirasingh Thakur, Woodbury, MN (US); Keith R. Maile, New Brighton, MN (US); Stephen B. Ruble, Lino Lakes, MN (US); and Jonathan Bennett Shute, Minnetonka, MN (US)
Assigned to Cardiac Pacemakers, Inc., St. Paul, MN (US)
Filed by Cardiac Pacemakers, Inc., St. Paul, MN (US)
Filed on Oct. 25, 2019, as Appl. No. 16/664,315.
Claims priority of provisional application 62/751,160, filed on Oct. 26, 2018.
Prior Publication US 2020/0129099 A1, Apr. 30, 2020
Int. Cl. A61B 5/145 (2006.01); A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/0215 (2006.01); A61B 5/053 (2021.01); A61B 5/11 (2006.01); A61B 5/366 (2021.01); A61B 7/04 (2006.01); G16H 50/30 (2018.01)
CPC A61B 5/14532 (2013.01) [A61B 5/0006 (2013.01); A61B 5/0205 (2013.01); A61B 5/0215 (2013.01); A61B 5/1116 (2013.01); A61B 5/366 (2021.01); A61B 5/4839 (2013.01); A61B 5/686 (2013.01); A61B 7/045 (2013.01); A61B 5/053 (2013.01); G16H 50/30 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
an ambulatory medical device configured to receive multiple types of physiologic information correlated to, and different from, a direct glucose level measurement, the physiologic information respectively sensed by two or more physiologic sensors from a patient, the multiple types of physiologic information comprising at least one of cardiac electrical information indicative of an electrical activity of a heart or tissue of the patient or cardiac mechanical information indicative of a mechanical activity of the heart or tissue of the patient; and
an assessment circuit configured to:
receive information about patient risk of abnormal blood glucose level including at least a first risk level and a second risk level different from the first risk level;
select a first type or portion of the multiple types of received physiologic information based on the received first risk level, and select a second type or portion of the multiple types of received physiologic information based on the received second risk level, the second type or portion different from the first type or portion;
determine a glucose index indicative of an abnormal blood glucose level for the patient, including determining a first glucose index using the selected first type or portion of the multiple types of received physiologic information, and determining a second glucose index using the selected second type or portion of the multiple types of received physiologic information; and
provide an output to trigger measurement from a third sensor, separate from the two or more physiological sensors, configured to directly measure a glucose level based on the determined glucose index satisfying a condition.