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:
Jul. 20, 2021

Filed:

May. 04, 2018
Applicant:

Optum Labs, Llc, Minneapolis, MN (US);

Inventors:

Steven Catani, Athens, GA (US);

Jed Ludlow, Draper, UT (US);

Tyler Stigen, Minneapolis, MN (US);

Joseph A. Roxas, Talisay, PH;

Nino Paul D. Batanay, Carmen, PH;

Assignee:

OPTUM LABS, LLC, Minneapolis, MN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G09B 23/28 (2006.01); A61B 5/00 (2006.01); A61B 5/145 (2006.01); A61B 5/11 (2006.01); A61B 5/0205 (2006.01); A61B 5/024 (2006.01);
U.S. Cl.
CPC ...
A61B 5/4866 (2013.01); A61B 5/0205 (2013.01); A61B 5/1123 (2013.01); A61B 5/14532 (2013.01); A61B 5/6824 (2013.01); A61B 5/6825 (2013.01); A61B 5/7264 (2013.01); A61B 5/7282 (2013.01); A61B 5/02416 (2013.01); A61B 5/02438 (2013.01); A61B 5/1118 (2013.01); A61B 2562/0219 (2013.01);
Abstract

Embodiments include methods and systems for automated eating detection. Systems comprise a continuous glucose monitor (CGM), accelerometer, and processing unit. During a first time period, the processing unit receives glucose readings and a first set of acceleration readings. The processing unit identifies an eating episode if the glucose readings satisfy one or more criteria. Using the identified eating episode and first set of acceleration readings, the processing unit generates an individual model that identifies eating episodes using acceleration readings without using glucose readings. During a second time period, a processing unit uses the individual model and a second set of acceleration readings to identify a second eating episode. Some embodiments may use additional sensor types (for example, PPG or heart rate) to identify eating episodes in the first or second time period, generate the individual model, or any combination thereof.


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