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:
Oct. 14, 2025

Filed:

Apr. 30, 2024
Applicant:

Dexcom, Inc., San Diego, CA (US);

Inventors:

Sarah Kate Pickus, San Diego, CA (US);

Brian Bober, San Diego, CA (US);

Assignee:

Dexcom, Inc., San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/70 (2018.01); A61B 5/00 (2006.01); A61B 5/145 (2006.01); G16H 10/60 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G16H 50/70 (2018.01); A61B 5/14532 (2013.01); A61B 5/6801 (2013.01); A61B 5/7278 (2013.01); A61B 5/742 (2013.01); A61B 5/746 (2013.01); G16H 10/60 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01);
Abstract

Detection of anomalous computing environment behavior using glucose is described. An anomaly detection system receives glucose measurements and event records during a first time period. Missing events that are missing from the event records during the first time period are identified by processing the glucose measurements using an event engine simulator. An anomaly detection model is generated based on the missing events during the first time period. Subsequently, the anomaly detection system receives additional glucose measurements and additional event records during a second time period. Missing events that are missing from the additional event records during the second time period are identified by processing the additional glucose measurements using the event engine simulator. Anomalous behavior is detected if the identified missing events that are missing from the event records during the second time period are outside a predicted range of missing events of the anomaly detection model.


Find Patent Forward Citations

Loading…