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dc.contributor.authorUeda, Junen_US
dc.contributor.authorMing, Dingen_US
dc.contributor.authorKrishnamoorthy, Vijayaen_US
dc.contributor.authorShinohara, Minoruen_US
dc.contributor.authorOgasawara, Tsukasaen_US
dc.date.accessioned2011-03-15T20:22:12Z
dc.date.available2011-03-15T20:22:12Z
dc.date.issued2010-08
dc.identifier.citationJun Ueda, Ming Ding, Vijaya Krishnamoorthy, Minoru Shinohara, Tsukasa Ogasawara, "Individual Muscle Control using an Exoskeleton Robot for Muscle Function Testing, " IEEE Transactions on Neural and Rehabilitation Systems Engineering, Vol.18, No.4 (Aug. 2010) 339-350en_US
dc.identifier.issn1534-4320
dc.identifier.urihttp://hdl.handle.net/1853/37411
dc.description©2010 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.descriptionDOI: 10.1109/TNSRE.2010.2047116en_US
dc.description.abstractHealthy individuals modulate muscle activation patterns according to their intended movement and external environment. Persons with neurological disorders (e.g., stroke and spinal cord injury), however, have problems in movement control due primarily to their inability to modulate their muscle activation pattern in an appropriate manner. A functionality test at the level of individual muscles that investigates the activity of a muscle of interest on various motor tasks may enable muscle-level force grading. To date there is no extant work that focuses on the application of exoskeleton robots to induce specific muscle activation in a systematic manner. This paper proposes a new method, named “individual muscle-force control” using a wearable robot (an exoskeleton robot, or a power-assisting device) to obtain a wider variety of muscle activity data than standard motor tasks, e.g., pushing a handle by hand. A computational algorithm systematically computes control commands to a wearable robot so that a desired muscle activation pattern for target muscle forces is induced. It also computes an adequate amount and direction of a force that a subject needs to exert against a handle by his/her hand. This individual muscle control method enables users (e.g., therapists) to efficiently conduct neuromuscular function tests on target muscles by arbitrarily inducing muscle activation patterns. This paper presents a basic concept, mathematical formulation, and solution of the individual muscle-force control and its implementation to a muscle control system with an exoskeleton-type robot for upper extremity. Simulation and experimental results in healthy individuals justify the use of an exoskeleton robot for future muscle function testing in terms of the variety of muscle activity data.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectExoskeletonen_US
dc.subjectMotor tasken_US
dc.subjectMuscleen_US
dc.subjectPneumatic actuatoren_US
dc.subjectRehabilitationen_US
dc.titleIndividual Muscle Control using an Exoskeleton Robot for Muscle Function Testingen_US
dc.typePost-printen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Mechanical Engineering
dc.contributor.corporatenameNara Institute of Science and Technology. Graduate School of Information Science
dc.contributor.corporatenameEmory University. Dept. of Rehabilitation Medicine
dc.contributor.corporatenameGeorgia Institute of Technology. School of Applied Physiology
dc.contributor.corporatenameGeorgia Institute of Technology. Center for Robotics and Intelligent Machinesen_US
dc.publisher.originalInstitute of Electrical and Electronics Engineersen_US


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