Patent · US Active

Deep learning for classification of swallows

US10869629B2 · kind B2 · utility

0Cited by

5References

18Claims

0Family size

Assignee

University of Pittsburgh—Of the Commonwealth System of Higher Education · US

Inventors

Ervin Sejdic · Pittsburgh, US
Amro El-Jaroudi · Pittsburgh, US
James Coyle · Zelienople, US
Joshua Dudik · Bethesda, US
Mingui Sun · Pittsburgh, US
Zhi-Hong Mao · Dorpsstraat, US

Key dates

Filing date	Aug 15, 2017
Grant date	Dec 22, 2020
Priority date	—
Expiry date	Aug 15, 2037

Classification

Technology area (CPC A)Human Necessities
CPC primaryA61B2562/0219
WIPO fieldComputer technology
WIPO sectorElectrical engineering

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.