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Proceedings Paper

Cortical control for prosthetic devices
Author(s): Andrew B. Schwartz; D. W. Kipke; P. D. Perepelkin
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Paper Abstract

The work presented in this session is part of a project to develop an arm-control system based on neuronal activity recorded from the cerebral cortex. This will make it possible for amputees or paralyzed individuals to move a prosthetic arm or, using functional neural stimulation, their own limbs as effortlessly and with as much skill as intact individuals. We are developing and testing this system in monkeys and hope to have a prototype working in the next couple of years. This project has been made more feasible because we have been able, in the last 15 years to extract, from the brain, a signal that represents arm trajectory accurately. In this paper, we describe how this technique was developed and how we use this as the basis for our control signal. An alternative approach using a self-organizing feature map, an algorithm to deduce arm configuration given an endpoint trajectory and the development of a telemetry system to transmit the neuronal data is described in subsequent papers.

Paper Details

Date Published: 30 May 1996
PDF: 10 pages
Proc. SPIE 2718, Smart Structures and Materials 1996: Smart Sensing, Processing, and Instrumentation, (30 May 1996); doi: 10.1117/12.240891
Show Author Affiliations
Andrew B. Schwartz, Arizona State Univ. (United States)
D. W. Kipke, Arizona State Univ. (United States)
P. D. Perepelkin, Arizona State Univ. (United States)

Published in SPIE Proceedings Vol. 2718:
Smart Structures and Materials 1996: Smart Sensing, Processing, and Instrumentation
Kent A. Murphy; Dryver R. Huston, Editor(s)

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