File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

강상훈

Kang, Sang Hoon
Robotics and Rehabilitation Engineering Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.endPage 499 -
dc.citation.number 3 -
dc.citation.startPage 490 -
dc.citation.title IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING -
dc.citation.volume 21 -
dc.contributor.author Ren, Yupeng -
dc.contributor.author Kang, Sang Hoon -
dc.contributor.author Park, Hyung-Soon -
dc.contributor.author Wu, Yi-Ning -
dc.contributor.author Zhang, Li-Qun -
dc.date.accessioned 2023-12-22T04:06:32Z -
dc.date.available 2023-12-22T04:06:32Z -
dc.date.created 2015-08-06 -
dc.date.issued 2013-05 -
dc.description.abstract Arm impairments in patients post stroke involve the shoulder, elbow and wrist simultaneously. It is not very clear how patients develop spasticity and reduced range of motion (ROM) at the multiple joints and the abnormal couplings among the multiple joints and the multiple degrees-of-freedom (DOF) during passive movement. It is also not clear how they lose independent control of individual joints/DOFs and coordination among the joints/DOFs during voluntary movement. An upper limb exoskeleton robot, the IntelliArm, which can control the shoulder, elbow, and wrist, was developed, aiming to support clinicians and patients with the following integrated capabilities: 1) quantitative, objective, and comprehensive multi-joint neuromechanical pre-evaluation capabilities aiding multi-joint/DOF diagnosis for individual patients; 2) strenuous and safe passive stretching of hypertonic/deformed arm for loosening up muscles/joints based on the robot-aided diagnosis; 3) (assistive/resistive) active reaching training after passive stretching for regaining/improving motor control ability; and 4) quantitative, objective, and comprehensive neuromechanical outcome evaluation at the level of individual joints/DOFs, multiple joints, and whole arm. Feasibility of the integrated capabilities was demonstrated through experiments with stroke survivors and healthy subjects. © 2001-2011 IEEE. -
dc.identifier.bibliographicCitation IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, v.21, no.3, pp.490 - 499 -
dc.identifier.doi 10.1109/TNSRE.2012.2225073 -
dc.identifier.issn 1534-4320 -
dc.identifier.scopusid 2-s2.0-84877851377 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/13397 -
dc.identifier.url http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6335485 -
dc.identifier.wosid 000319005500019 -
dc.language 영어 -
dc.publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC -
dc.title Developing a multi-joint upper limb exoskeleton robot for diagnosis, therapy and outcome evaluation in neurorehabilitation -
dc.type Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.