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Conference Paper: Upper extremity kinetics during walker-assisted gait of knee joint stiffness simulation

TitleUpper extremity kinetics during walker-assisted gait of knee joint stiffness simulation
Authors
KeywordsGait
Handle reaction vector
Knee joint stiffness
Support vector machine
Walker
Issue Date2010
PublisherIEEE.
Citation
The 2010 IEEE International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS), Taranto, Apulia, Italy, 6-8 September 2010. In Proceedings of the IEEE-VECIMS, 2010, p. 1-5 How to Cite?
Abstract
Because of various inflammations and fractures of low limbs, the number of patients with knee joint stiffness is increasing. Walkers are commonly prescribed to improve these patients' stability and ambulatory ability. The evaluation on the assisted walking effect has become a hot problem, whose prerequisite is a comprehensive mechanical understanding of the upper extremity force. In order to study the upper extremity kinetics during walker-assisted gait of knee joint stiffness, this paper developed a new method to collect upper extremity kinetics data based on a special-designed walker dynamometer system. Handle reaction vector (HRV) data were collected from 15 healthy right-handed young subjects by simulation experiments for four knee joint stiffness modes. T test and support vector machine (SVM) were used to analyze these HRV data. The results indicated that knee joint stiffness had a great influence on the upper extremity force during the walker-assisted walking. The proposed method is hoped to beneficially influence walker-assisted gait retraining strategies for knee joint stiffness. © 2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/142878
ISBN
References

 

Author Affiliations
  1. The University of Hong Kong
  2. Tianjin University
DC FieldValueLanguage
dc.contributor.authorMing, Den_HK
dc.contributor.authorLiu, Xen_HK
dc.contributor.authorBai, Yen_HK
dc.contributor.authorAn, Xen_HK
dc.contributor.authorQi, Hen_HK
dc.contributor.authorWan, Ben_HK
dc.contributor.authorHu, Yen_HK
dc.contributor.authorLuk, KDKen_HK
dc.date.accessioned2011-10-28T02:57:59Z-
dc.date.available2011-10-28T02:57:59Z-
dc.date.issued2010en_HK
dc.identifier.citationThe 2010 IEEE International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS), Taranto, Apulia, Italy, 6-8 September 2010. In Proceedings of the IEEE-VECIMS, 2010, p. 1-5en_US
dc.identifier.isbn978-1-4244-5905-6en_US
dc.identifier.urihttp://hdl.handle.net/10722/142878-
dc.description.abstractBecause of various inflammations and fractures of low limbs, the number of patients with knee joint stiffness is increasing. Walkers are commonly prescribed to improve these patients' stability and ambulatory ability. The evaluation on the assisted walking effect has become a hot problem, whose prerequisite is a comprehensive mechanical understanding of the upper extremity force. In order to study the upper extremity kinetics during walker-assisted gait of knee joint stiffness, this paper developed a new method to collect upper extremity kinetics data based on a special-designed walker dynamometer system. Handle reaction vector (HRV) data were collected from 15 healthy right-handed young subjects by simulation experiments for four knee joint stiffness modes. T test and support vector machine (SVM) were used to analyze these HRV data. The results indicated that knee joint stiffness had a great influence on the upper extremity force during the walker-assisted walking. The proposed method is hoped to beneficially influence walker-assisted gait retraining strategies for knee joint stiffness. © 2010 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE.-
dc.relation.ispartofVECIMS 2010 - 2010 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems, Proceedingsen_HK
dc.rightsIEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurements Systems Proceedings. Copyright © IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectGaiten_HK
dc.subjectHandle reaction vectoren_HK
dc.subjectKnee joint stiffnessen_HK
dc.subjectSupport vector machineen_HK
dc.subjectWalkeren_HK
dc.titleUpper extremity kinetics during walker-assisted gait of knee joint stiffness simulationen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=978-1-4244-5905-6&volume=&spage=1&epage=5&date=2010&atitle=Upper+extremity+kinetics+during+walker-assisted+gait+of+knee+joint+stiffness+simulationen_US
dc.identifier.emailHu, Y:yhud@hku.hken_HK
dc.identifier.emailLuk, KDK:hcm21000@hku.hken_HK
dc.identifier.authorityHu, Y=rp00432en_HK
dc.identifier.authorityLuk, KDK=rp00333en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/VECIMS.2010.5609343en_HK
dc.identifier.scopuseid_2-s2.0-78650097276en_HK
dc.identifier.hkuros197087en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78650097276&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage1en_HK
dc.identifier.epage5en_HK
dc.description.otherThe 2010 IEEE International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS), Taranto, Apulia, Italy, 6-8 September 2010. In Proceedings of the IEEE-VECIMS, 2010, p. 1-5-
dc.identifier.scopusauthoridMing, D=9745824400en_HK
dc.identifier.scopusauthoridLiu, X=35109400600en_HK
dc.identifier.scopusauthoridBai, Y=35108689200en_HK
dc.identifier.scopusauthoridAn, X=35975600200en_HK
dc.identifier.scopusauthoridQi, H=7202348852en_HK
dc.identifier.scopusauthoridWan, B=7102316798en_HK
dc.identifier.scopusauthoridHu, Y=7407116091en_HK
dc.identifier.scopusauthoridLuk, KDK=7201921573en_HK

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