By Topic

Design of a Control for a Neural Prosthesis for Walking: Use of Artificial Neural Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Popovic, D.B. ; Dept. of Health Sci. & Technol., Aalborg Univ. ; Popovic, M.B.

The review presents various neural networks and their application for the design of controllers of assistive systems aiming to provide the walking in paralyzed individuals. The first suggestion from the thorough review of literature and our own work is that the use of artificial neural networks could be an effective method to resolve redundancy, time variability of system parameters, nonlinearities, and other biological effects that contribute to extremely high complexity that cannot be modeled by analytical tools with sufficient precision and details. The second suggestion is that the application of artificial neural networks is only one part of solution, and that at the actuator level of control (muscle activation) the dynamics of the biological systems must be included

Published in:

Neural Network Applications in Electrical Engineering, 2006. NEUREL 2006. 8th Seminar on

Date of Conference:

25-27 Sept. 2006