Chad A Patterson

US Patent:

20220202319, Jun 30, 2022

Filed:

Dec 20, 2021

Appl. No.:

17/556822

Inventors:

- San Diego CA, US
Linda Schertzer - San Diego CA, US
Andrea J. Jackson - Solana Beach CA, US
Douglas Scott Kanter - San Diego CA, US
Giada Acciaroli - Ceggia, IT
Chad Patterson - San Diego CA, US
Apurv Kamath - San Diego CA, US
Alexander Michael Diener - San Diego CA, US
Drew Terry - San Diego CA, US
Mark Derdzinski - La Jolla CA, US
Sarah Kate Pickus - San Diego CA, US
Lauren Hruby Jepson - San Diego CA, US
Adam Noar - San Diego CA, US

Assignee:

DexCom, Inc. - San Diego CA

International Classification:

A61B 5/145
A61B 5/00
A61B 5/11

Abstract:

Meal and activity logging with a glucose monitoring interface is described. A glucose monitoring application is configured to display a user interface that includes a glucose graph that plots glucose measurements of a user over time. The glucose measurements, for example, may be obtained from a glucose monitoring device that collects glucose measurements of the user at predetermined intervals, e.g., every five minutes. Unlike conventional event logging approaches, the glucose monitoring application displays representations of logged events in the user interface along with the glucose graph. The logged events, for example, may include meals consumed by the user, and/or various activities performed by the user, such as exercise, meditation, sleep, and so forth. Notably, the glucose monitoring application controls the display of the event representations to be presented at positions on the glucose graph that correspond to times associated with the respective events.

US Patent:

20220202320, Jun 30, 2022

Filed:

Dec 28, 2021

Appl. No.:

17/563943

Inventors:

- San Diego CA, US
Stacey Fischer - Berkeley CA, US
Shaw Strothers - San Diego CA, US
Justin Yuen - Oceanside CA, US
Chad Patterson - San Diego CA, US
Apurv Kamath - San Diego CA, US
Drew Terry - San Diego CA, US
Margaret A. Crawford - Encinitas CA, US
Mark Derdzinski - La Jolla CA, US
Sarah Kate Pickus - San Diego CA, US
Lauren Hruby Jepson - San Diego CA, US
Adam Noar - San Diego CA, US
Douglas Scott Kanter - San Diego CA, US
Sonya Ann Sokolash - Portland OR, US

Assignee:

DexCom, Inc. - San Diego CA

International Classification:

A61B 5/145
A61B 5/00

Abstract:

User interfaces for glucose insight presentation are leveraged. A glucose monitoring application is configured to process glucose measurements to determine one or more glucose insights, e.g., about a user's glucose. The glucose measurements, for example, may be obtained from a glucose monitoring device that collects glucose measurements of the user at predetermined intervals, e.g., every five minutes. The glucose monitoring application configures a user interface, based on configuration data, to present one or more visual elements representative of the one or more glucose insights. For example, the glucose monitoring application may configure the user interface to include a visual element in the form of a color field which represents whether the user's current glucose measurement (e.g., the most recent glucose measurement obtained from the glucose monitoring device) is below, within, or above a glucose range.

US Patent:

20210267506, Sep 2, 2021

Filed:

Mar 1, 2021

Appl. No.:

17/188675

Inventors:

- San Diego CA, US
Alexander Michael Diener - San Diego CA, US
Ryan Richard Ruehl - San Diego CA, US
Kazanna Calais Hames - San Diego CA, US
Mark Douglas Kempkey - Vista CA, US
Chad Michael Patterson - San Diego CA, US
Apurv Ullas Kamath - San Diego CA, US
Matthew Lawrence Johnson - Solana Beach CA, US
Jason M. Halac - Solana Beach CA, US
David A. Price - Carlsbad CA, US
Peter C. Simpson - Cardiff CA, US
Devon M. Headen - Atlanta GA, US
Samuel Isaac Epstein - Chevy Chase MD, US

International Classification:

A61B 5/145
A61B 5/00
A61B 5/16
A61B 5/11
G16H 20/60

Abstract:

Techniques for data analysis and user guidance are provided. One or more current measurements of one or more current analyte levels for the user are received from a sensor. A pattern is generated based on the one or more current measurements and the one or more past measurements. A first alignment with a first user target is then determined based on the pattern, where the first user target relates to one or more of a mental state or physical state of the user. A first result is output to the user, based on the determined first alignment.