Patents by Inventor Mark D. Skowronski

Mark D. Skowronski 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).

  • Screening for neurological disease using speech articulation characteristics
    Patent number: 10010288
    Abstract: Detection of neurological diseases such as Parkinson's disease can be accomplished through analyzing a subject's speech for acoustic measures based on human factor cepstral coefficients (HFCC). Upon receiving a speech sample from a subject, a signal analysis can be performed that includes identifying articulation range and articulation rate using HFCC and delta coefficients. A likelihood of Parkinson's disease, for example, can be determined based upon the identified articulation range and articulation rate of the speech.
    Type: Grant
    Filed: January 17, 2017
    Date of Patent: July 3, 2018
    Assignees: Board of Trustees of Michigan State University, University of Florida Research Foundation, Inc.
    Inventors: John Clyde Rosenbek, Mark D. Skowronski, Rahul Shrivastav, Supraja Anand
  • SCREENING FOR NEUROLOGICAL DISEASE USING SPEECH ARTICULATION CHARACTERISTICS
    Publication number: 20170119302
    Abstract: Detection of neurological diseases such as Parkinson's disease can be accomplished through analyzing a subject's speech for acoustic measures based on human factor cepstral coefficients (HFCC). Upon receiving a speech sample from a subject, a signal analysis can be performed that includes identifying articulation range and articulation rate using HFCC and delta coefficients. A likelihood of Parkinson's disease, for example, can be determined based upon the identified articulation range and articulation rate of the speech.
    Type: Application
    Filed: January 17, 2017
    Publication date: May 4, 2017
    Inventors: John Clyde Rosenbek, Mark D. Skowronski, Rahul Shrivastav, Supraja Anand
  • Screening for neurological disease using speech articulation characteristics
    Patent number: 9579056
    Abstract: Detection of neurological diseases such as Parkinson's disease can be accomplished through analyzing a subject's speech for acoustic measures based on human factor cepstral coefficients (HFCC). Upon receiving a speech sample from a subject, a signal analysis can be performed that includes identifying articulation range and articulation rate using HFCC and delta coefficients. A likelihood of Parkinson's disease, for example, can be determined based upon the identified articulation range and articulation rate of the speech.
    Type: Grant
    Filed: October 9, 2013
    Date of Patent: February 28, 2017
    Assignees: University of Florida Research Foundation, Incorporated, Board of Trustees of Michigan State University
    Inventors: John Clyde Rosenbek, Mark D. Skowronski, Rahul Shrivastav, Supraja Anand
  • SCREENING FOR NEUROLOGICAL DISEASE USING SPEECH ARTICULATION CHARACTERISTICS
    Publication number: 20150265205
    Abstract: Detection of neurological diseases such as Parkinson's disease can be accomplished through analyzing a subject's speech for acoustic measures based on human factor cepstral coefficients (HFCC). Upon receiving a speech sample from a subject, a signal analysis can be performed that includes identifying articulation range and articulation rate using HFCC and delta coefficients. A likelihood of Parkinson's disease, for example, can be determined based upon the identified articulation range and articulation rate of the speech.
    Type: Application
    Filed: October 9, 2013
    Publication date: September 24, 2015
    Inventors: John Clyde Rosenbek, Mark D. Skowronski, Rahul Shrivastav, Supraja Anand