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

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dc.contributor.author Ueda, Jun en_US
dc.contributor.author Hyderabadwala, Moiz en_US
dc.contributor.author Krishnamoorthy, Vijaya en_US
dc.contributor.author Shinohara, Minoru en_US
dc.contributor.corporatename Georgia Institute of Technology. Center for Robotics and Intelligent Machines en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Mechanical Engineering en_US
dc.contributor.corporatename Emory University. Dept. Rehabilitation Medicine en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Applied Physiology en_US
dc.date.accessioned 2012-01-27T21:12:32Z
dc.date.available 2012-01-27T21:12:32Z
dc.date.issued 2009-06
dc.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. en_US
dc.description DOI: 10.1109/ICORR.2009.5209522 en_US
dc.description Presented at the 2009 IEEE 11th International Conference on Rehabilitation Robotics, Kyoto International Conference Center, Japan, June 23-26, 2009. en_US
dc.description.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. en_US
dc.identifier.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. en_US
dc.identifier.isbn 978-1-4244-3788-7
dc.identifier.issn 1945-7898
dc.identifier.uri http://hdl.handle.net/1853/42286
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Institute of Electrical and Electronics Engineers en_US
dc.subject Actuators en_US
dc.subject Exoskeleton robots en_US
dc.subject Rehabilitation robots en_US
dc.subject Wearable robots en_US
dc.title Motor Task Planning for Neuromuscular Function Tests using an Individual Muscle Control Technique en_US
dc.type Text
dc.type.genre Proceedings
dspace.entity.type Publication
local.contributor.author Ueda, Jun
local.contributor.author Shinohara, Minoru
local.contributor.corporatename Institute for Robotics and Intelligent Machines (IRIM)
local.contributor.corporatename Biorobotics and Human Modeling Lab
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