Invention Grant
- Patent Title: Using correlation structure of speech dynamics to detect neurological changes
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Application No.: US14518490Application Date: 2014-10-20
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Publication No.: US10561361B2Publication Date: 2020-02-18
- Inventor: Thomas F. Quatieri , James R. Williamson , Brian Helfer , Rachelle Laura Horwitz-Martin , Bea Yu , Daryush Dinyar Mehta
- Applicant: Massachusetts Institute of Technology
- Applicant Address: US MA Cambridge
- Assignee: Massachusetts Institute of Technology
- Current Assignee: Massachusetts Institute of Technology
- Current Assignee Address: US MA Cambridge
- Agency: Occhiuti & Rohlicek LLP
- Main IPC: A61B5/00
- IPC: A61B5/00 ; A61B5/16 ; A61B5/11
Abstract:
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.
Public/Granted literature
- US20150112232A1 USING CORRELATION STRUCTURE OF SPEECH DYNAMICS TO DETECT NEUROLOGICAL CHANGES Public/Granted day:2015-04-23
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