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:
Dec. 22, 2020

Filed:

Aug. 15, 2017
Applicant:

University of Pittsburgh—of the Commonwealth System of Higher Education, Pittsburgh, PA (US);

Inventors:

Ervin Sejdic, Pittsburgh, PA (US);

Amro El-Jaroudi, Pittsburgh, PA (US);

James Coyle, Harmony, PA (US);

Joshua Dudik, Bethesda, MD (US);

Mingui Sun, Pittsburgh, PA (US);

Zhi-Hong Mao, Sewickley, PA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); G16H 50/20 (2018.01); G06N 3/08 (2006.01); G16H 40/63 (2018.01); G06N 3/04 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
A61B 5/4205 (2013.01); G06K 9/6267 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/0472 (2013.01); G06N 3/08 (2013.01); G06N 3/088 (2013.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); A61B 2562/0219 (2013.01);
Abstract

A method of classifying a swallow of a subject includes obtaining vibration data that is based on and indicative of a number of vibrations resulting from the swallow, and using a computer implemented deep learning classifier to classify the swallow based on the vibration data. Also, a system for classifying a swallow of a subject includes a computing device implementing a deep learning classifier. The computing device includes a processor apparatus structured and configured to receive vibration data that is based on and indicative of a number of vibrations resulting from the swallow, and use the deep learning classifier to classify the swallow based on the vibration data. The deep learning classifier may comprise a single layer or a multi-layer Deep Belief network.


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