Motor Task Planning for Neuromuscular Function Tests using an Individual Muscle Control Technique

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/42286

Title: Motor Task Planning for Neuromuscular Function Tests using an Individual Muscle Control Technique
Author: Ueda, Jun ; Hyderabadwala, Moiz ; Krishnamoorthy, Vijaya ; Shinohara, Minoru
Abstract: A functionality test at the level of individual muscles may be effective for neuromuscular function tests. This paper proposes a novel computational method for neuromuscular function test planning using an individual muscle force control technique assisted by a rehabilitation robot. The algorithm will systematically compute an adequate amount and direction of force that a subject needs to exert, e.g., by his/her hand, to induce a desired muscle activation pattern of target muscle forces. A wearable robot with actuators (an exoskeleton robot, or a power-assisting device) is utilized to assist/resist the subject's joint torques. This paper presents a basic concept and preliminary simulation results. The simulation results justify the use of the wearable actuators in terms of the accuracy of muscle-level control during planned motor tasks.
Description: ©2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. DOI: 10.1109/ICORR.2009.5209522 Presented at the 2009 IEEE 11th International Conference on Rehabilitation Robotics, Kyoto International Conference Center, Japan, June 23-26, 2009.
Type: Proceedings
URI: http://hdl.handle.net/1853/42286
ISSN: 1945-7898
ISBN: 978-1-4244-3788-7
Citation: Jun Ueda, Moiz Hyderabadwala, Vijaya Krishnamoorthy, Minoru Shinohara, "Motor Task Planning for Neuromuscular Function Tests using an Individual Muscle Control Technique," 2009 IEEE 11th International Conference on Rehabilitation Robotics, Kyoto, Japan.
Date: 2009-06
Contributor: Georgia Institute of Technology. Center for Robotics and Intelligent Machines
Georgia Institute of Technology. School of Mechanical Engineering
Emory University. Dept. Rehabilitation Medicine
Georgia Institute of Technology. School of Applied Physiology
Publisher: Georgia Institute of Technology
Institute of Electrical and Electronics Engineers
Subject: Actuators
Exoskeleton robots
Rehabilitation robots
Wearable robots

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