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:
Aug. 01, 2023

Filed:

Jun. 19, 2020
Applicant:

The Regents of the University of California, Oakland, CA (US);

Inventors:

Fabrizio Billi, Los Angeles, CA (US);

Per Henrik Borgstrom, Sacramento, CA (US);

William Kaiser, Los Angeles, CA (US);

Harry A. McKellop, Los Angeles, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/11 (2006.01); G16H 50/20 (2018.01); G16H 40/63 (2018.01); A61B 7/00 (2006.01);
U.S. Cl.
CPC ...
A61B 5/4851 (2013.01); A61B 5/1121 (2013.01); A61B 5/1122 (2013.01); A61B 5/4528 (2013.01); A61B 5/6812 (2013.01); A61B 5/7282 (2013.01); A61B 7/006 (2013.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); A61B 5/4514 (2013.01); A61B 5/7264 (2013.01); A61B 2560/0475 (2013.01); A61B 2562/0204 (2013.01);
Abstract

A monitoring apparatus for a human body includes a node network with at least one motion sensor and at least one acoustic sensor. A processor is coupled to the node network, and receives motion information and acoustic information from the node network. The processor determines from the motion information and the acoustic information a source of acoustic emissions within the human body by analyzing the acoustic information in the time domain to identify an event envelope representing an acoustic event, determining a feature vector related to the event envelope, calculating a distance between the feature vector and each of a set of predetermined event silhouettes, and identifying one of the predetermined event silhouettes for which the distance is a minimum.


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