New control strategies for neuroprosthetic systems


Crago, Patrick E. and Lan, Ning and Veltink, Peter H. and Abbas, James J. and Kantor, Carole (1996) New control strategies for neuroprosthetic systems. Journal of Rehabilitation Research & Development, 33 (2). pp. 158-172. ISSN 0748-7711

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Abstract:The availability of techniques to artificially excite paralyzed muscles opens enormous potential for restoring both upper and lower extremity movements with
neuroprostheses. Neuroprostheses must stimulate muscle, and control and regulate the artificial movements produced. Control methods to accomplish these tasks include feedforward (open-loop), feedback, and adaptive control. Feedforward control requires a great deal of information about the biomechanical behavior of the limb. For the upper extremity, an artificial motor program was developed to provide such movement program input to a neuroprosthesis. In lower extremity control, one group achieved their best results by attempting to meet naturally perceived gait objectives rather than to follow an exact joint angle trajectory. Adaptive feedforward control, as implemented in the cycleto-cycle controller, gave good compensation for the gradual decrease in performance observed with open-loop control. A neural network controller was able to control its system to customize stimulation parameters in order to generate a desired output trajectory in a given individual and to maintain tracking performance in the presence of muscle fatigue. The authors believe that practical FNS control systems must
exhibit many of these features of neurophysiological systems.
Item Type:Article
Additional information:Open Access
Copyright:© 1996 United States Department of Veterans Affairs
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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