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:
Feb. 18, 2025

Filed:

May. 13, 2021
Applicant:

Salutron, Inc., Newark, CA (US);

Inventor:

Lino Velo, San Ramon, CA (US);

Assignee:

Salutron, Inc., Newark, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A63B 24/00 (2006.01); A01K 15/02 (2006.01); A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/024 (2006.01); A61B 5/22 (2006.01); A63B 22/02 (2006.01); A63B 22/06 (2006.01);
U.S. Cl.
CPC ...
A63B 24/0062 (2013.01); A01K 15/027 (2013.01); A61B 5/0205 (2013.01); A61B 5/024 (2013.01); A61B 5/222 (2013.01); A61B 5/6801 (2013.01); A61B 5/7275 (2013.01); A61B 5/7475 (2013.01); A61B 2503/10 (2013.01); A61B 2562/0219 (2013.01); A63B 22/02 (2013.01); A63B 22/0605 (2013.01); A63B 2024/0065 (2013.01); A63B 2220/805 (2013.01); A63B 2220/808 (2013.01); A63B 2220/833 (2013.01); A63B 2220/89 (2013.01); A63B 2230/04 (2013.01);
Abstract

Automated systems and methods are presented for determining the physiological response of human or suitable animal subjects to physical exertion. The methods and systems can include monitoring sensors that capture the motion of the subject along with corresponding physiological data, and can track such motion for the duration of a period of physical exertion. The system is able to acquire an initial stream of physiological data from the subject during a range of physical exertion activities that are representative of the events intended to be monitored with the proposed method and system, enabling a corresponding dynamic physiological response model to be created. The motion tracking system and physiological response model can then be used to predict the physiological response to physical exertion events under a prescribed framework, including applications during real-time event monitoring.


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