Speech Analysis for the Automatic Detection and Monitoring of Parkinson's Disease

Prof. Dr. Juan Rafael Orozco-Arroyave, University of Antioquia, Colombia

Details

  • Date: 23.09.2019
  • Time: 10:00 h
  • Place: Aquarium, Building D, Faculty of Engineering, Kaiserstr. 2., 24143 Kiel

 

Abstract

Parkinson's diseae (PD) is second most common neurodegenerative disorder worldwide. It affects the control of muscles and limbs in the body and typically has negative impact on the speech production. Other motor activities like handwriting and gait are also affected. This talk will start with a general description of several neurodegenerative disorders including PD, Alzheimer's, and Aphasia. Typical speech disorders suffered by PD patients will be discussed and a methodology to automatically model those symptoms is also introduced. The suitability of such a methodology for the automatic detection and monitoring of PD is also discussed. In the final part of the talk, an extension of the methodology is presented considering other bio signals like handwriting and gait

 

Short CV

Juan Rafael Orozco-Arroyave was born in Medellín, Colombia in 1981. He is Electronics Engineer from the University of Antioquia (2004). From 2004 to 2009 he was working for a telco company in Medellín, Colombia. In 2011 he finished the MSc. degree in Telecommunications from the Unversidad de Antioquia. In 2015 he finished the PhD in Computer Science in a double degree program between the University of Erlangen (Germany) and the University of Antioquia (Colombia). Currently Juan Rafael Orozco-Arroyave is associate Professor at the University of Antioquia and adjunct researcher at the Pattern Recognition Lab at the University of Erlangen.

Contact

Prof. Dr.-Ing. Gerhard Schmidt

E-Mail: gus@tf.uni-kiel.de

Christian-Albrechts-Universität zu Kiel
Faculty of Engineering
Institute for Electrical Engineering and Information Engineering
Digital Signal Processing and System Theory

Kaiserstr. 2
24143 Kiel, Germany

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