Using Correlation Structure of Speech Dynamics to Detect Neurophysiological Changes

A method and a system for assessing a condition in a subject. An example of a condition is a Major Depressive Disorder (MDD). The method comprises measuring at least one speech-related variable in a subject; extracting a channel-delay correlation structure of the at least one speech-related variable; and generating an assessment of a condition of the subject, based on the correlation structure of the at least one speech-related variable.

Researchers

Brian Helfer / Rachelle Horwitz- Martin / Bea Yu / Daryush Mehta / James Williamson / Thomas Quatieri

Departments: Office of Religious, Spiritual, and Ethical Life, Lincoln Laboratory
Technology Areas: Computer Science: Bioinformatics, Networking & Signals

  • using correlation structure of speech dynamics to detect neurological changes
    United States of America | Granted | 10,561,361
  • using correlation structure of speech dynamics to detect neurological changes
    European Patent Convention | Granted | 3,057,493

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