Patents by Inventor Joshua Dudik

Joshua Dudik has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Deep learning for classification of swallows
    Patent number: 10869629
    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.
    Type: Grant
    Filed: August 15, 2017
    Date of Patent: December 22, 2020
    Assignee: University of Pittsburgh-Of die Commonwealth System of Higher Education
    Inventors: Ervin Sejdic, Amro El-Jaroudi, James Coyle, Joshua Dudik, Mingui Sun, Zhi-Hong Mao
  • DEEP LEARNING FOR CLASSIFICATION OF SWALLOWS
    Publication number: 20190167182
    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.
    Type: Application
    Filed: August 15, 2017
    Publication date: June 6, 2019
    Applicant: UNIVERSITY OF PITTSBURGH-OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION
    Inventors: Ervin Sejdic, Amro El-Jaroudi, James Coyle, Joshua Dudik, Mingui Sun, Zhi-Hong Mao