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



  • 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:, phone (direct): (517)884-1829. 


Patent Information:


For Information, Contact:

Anupam Jhingran
Technology Manager
Michigan State University