Identifying and Monitoring Neurological Diseases through Speech

 

 

Executive Summary

 

Early detection of neurodegenerative diseases such as Parkinson’s disease is critical to a successful treatment and management of the condition. Scientists at Michigan State University, University of Florida and University of Georgia have devised a way to identify whether patients suffer from Parkinson’s disease and to monitor their progression through speech patterns. This type of early detection could be used for multiple neurological diseases.

 

Description of Technology

 

Using human factor cepstral coefficients (HFCC), researchers are able to identify Parkinson’s patients through speech. This type of technology can be used to identify Parkinson’s patients before more obvious motor symptoms begin to develop, allowing for a wide window of preparation and treatment. This method could be used to identify other neurodegenerative and neurological disorders earlier than previously possible.

 

Key Benefits

  • Early identification of neurodegenerative diseases
  • Accurate diagnoses
  • Non-invasive procedure

 

Applications

  • Medical and diagnostic devices
  • Neurodegenerative disease monitoring

 

Patent Status: 

 

Patent Issued: US20150265205A1

 

Licensing Rights Available

 

Full licensing rights.

 

Inventors: Rahul Shirvastav, Mark Skowronski, Supraja Anand, John Rosenbek

 

Tech ID: TEC2013-0045

 

Alternative contact due to temporary leave:

 

Nina (Isi) Davis, Technology Marketing Manager, email: davisnin@msu.edu, phone (direct): (517)884-1829. 

 

Patent Information:

Category(s):

For Information, Contact:

Randy Ramharack
Technology Manager
Michigan State University
ramharac@msu.edu
Keywords: