Real-time control of the hand by intracortically controlled functional neuromuscular stimulation

Eric A. Pohlmeyer, Eric Perreault, Marc W Slutzky, Kevin L. Kilgore, Robert F. Kirsch, Dawn M. Taylor, Lee E Miller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

The purpose of this study was to develop an animal model to evaluate the efficacy of a brain machine interface (BMI) to control a neuroprosthesis intended to restore hand function via functional neuromuscular stimulation (FNS). We have implemented the system in a single primate, whose limb could be temporarily paralyzed by a reversible peripheral nerve block. Recordings from the primary motor cortex were obtained from a 100-electrode array in the intact monkey, and used to predict the activity of a variety of wrist and hand muscles. These predictions were calculated in real-time, and used as inputs to a 4 channel neuromuscular stimulator for electrically activating the paralyzed muscles. Here we demonstrate that the BMI can be used to restore voluntary control of wrist flexion following muscle paralysis.

Original languageEnglish (US)
Title of host publication2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07
Pages454-458
Number of pages5
DOIs
StatePublished - Dec 1 2007
Event2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07 - Noordwijk, Netherlands
Duration: Jun 12 2007Jun 15 2007

Other

Other2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07
Country/TerritoryNetherlands
CityNoordwijk
Period6/12/076/15/07

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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