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Rehabilitation Engineering: „Re-engineering“ Nervous System Functions.

In this talk I will first present three basic rehabilitation engineering principles that are typically applied in rehabilitation of neurophysiological dysfunction. The rehabilitation engineering systems based on the first principle exploit the phenomena of neural plasticity, the systems based on the second principle modify the nervous system functions by means of neuromodulation, and the systems based on the third principle represent systems that generate the desired neuromuscular functions in absence of natural control. After this introduction I will give examples of my own research dealing with external and implantable rehabilitation engineering systems using the above principles. The examples will cover rehabilitation of the central nervous system on a complex level as well as rehabilitation based on activation and sensing of the peripheral and cellular nervous system levels.
Type of Seminar:
Special Series on Rehabilitation Engineering
Dr.- Ing. Saso Jezernik
Inst. fuer Automatik, ETH Zurich, ETL K28 CH – 8092 Zurich
Nov 21, 2002   11:15

ETH Zentrum, Gloriasstrasse 35, Building ETZ , Room E6
Contact Person:

Prof. M. Morari
No downloadable files available.
Biographical Sketch:
Saso Jezernik was born in Maribor, Slovenia in 1971. He received the Dipl.Ing. degree in Electrical Engineering (M.Sc.E.E.) with specialization in Control Theory and Process Automation from the Technical University of Graz, Austria, in 1996, and a Ph.D. degree in Biomedical Engineering from Aalborg University, Denmark in 1999.While being a Ph.D. student he was also a visiting Research Scholar at the Applied Neural Control Laboratory, Case Western Reserve University, Cleveland, USA. During the last three years he has been a post-doctoral assistant at the Automatic Control Laboratory, Swiss Federal Institute of Technology in Zurich. His research interests are in the fields of automatic control, signal processing, and neural prostheses. His past work included whole nerve cuff recording, electrical stimulation, neurophysiology of the lower urinary tract, and closed-loop control of FES systems. Lately he has been working on the development of gait-pattern adaptation algorithms for the robotic orthosis Lokomat, and on advanced control algorithms to control neural prostheses and Lokomat, including a biologically inspired neural network modeling and control.