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:
Apr. 09, 2019

Filed:

May. 11, 2016
Applicant:

Carepredict, Inc., Plantation, FL (US);

Inventors:

Ronald A. Barnes, San Antonio, TX (US);

David P. Elam, Jr., San Antonio, TX (US);

Bennett L. Ibey, San Antonio, TX (US);

Ehsaneh Shahhaidar, San Antonio, TX (US);

Gerald J. Wilmink, San Antonio, TX (US);

Jason B. Wilson, Fair Oaks Ranch, TX (US);

Daniel O. Womble, San Antonio, TX (US);

Assignee:

CarePredict, Inc., Plantation, FL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61N 1/39 (2006.01); A61B 5/11 (2006.01); A61B 5/00 (2006.01); A61B 5/024 (2006.01); A61B 5/0205 (2006.01); G06F 19/00 (2018.01);
U.S. Cl.
CPC ...
A61B 5/486 (2013.01); A61B 5/0205 (2013.01); A61B 5/02438 (2013.01); A61B 5/1112 (2013.01); A61B 5/1118 (2013.01); A61B 5/1123 (2013.01); A61B 5/4809 (2013.01); A61B 5/4812 (2013.01); A61B 5/4866 (2013.01); A61B 5/4875 (2013.01); A61B 5/6823 (2013.01); A61B 5/6831 (2013.01); G06F 19/00 (2013.01); A61B 5/1117 (2013.01); A61B 2560/0242 (2013.01); A61B 2562/0219 (2013.01);
Abstract

Methods, apparatuses, and computer readable mediums for waistband monitoring analysis for a user are provided. In a particular embodiment, a waistband monitoring device is configured to generate a motion pattern based on motion data from a motion sensor coupled to the waistband monitoring device; receive physiological data generated by a physiological sensor coupled to the waistband monitoring device, wherein the physiological data indicates at least one vital sign of the user; identify an activity of the user that corresponds to the motion data and the physiological data; and generate an analysis of the user's performance of the identified activity based on the motion data and the physiological data.


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