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Article: Novel walking stability-based gait recognition method for functional electrical stimulation system control

TitleNovel walking stability-based gait recognition method for functional electrical stimulation system control
Authors
KeywordsFunctional Electrical Stimulation
Gait Recognition
Paraplegic Walking
Risk-Tendency-Graph
Issue Date2007
PublisherTianjin University. The Journal's web site is located at http://tjdy.chinajournal.net.cn/
Citation
Transactions Of Tianjin University, 2007, v. 13 n. 2, p. 93-97 How to Cite?
AbstractGait recognition is the key question of functional electrical stimulation (FES) system control for paraplegic walking. A risk-tendency-graph (RTG) method was proposed to recognize the stability information in FES-assisted walking gait. The main instrument was a specialized walker dynamometer system based on a multi-channel strain-gauge bridge network fixed on the walker frame. During walking process, this system collected the reaction forces between patient's upper extremities and walker and converted them into RTG morphologic curves of dynamic gait stability in temporal and spatial domains. To demonstrate the potential usefulness of RTG, preliminary clinical trials were done with paraplegic patients. The gait stability levels of two walking cases with 4- and 12-week FES training from one subject were quantified (0.43 and 0.19) from the results of temporal and spatial RTG. Relevant instable phases in gait cycle and dangerous inclinations of patient's body during walking process were also brought forward. In conclusion, the new RTG method is practical for distinguishing more useful gait stability information for FES system control.
Persistent Identifierhttp://hdl.handle.net/10722/170105
ISSN
2015 SCImago Journal Rankings: 0.211
References

 

DC FieldValueLanguage
dc.contributor.authorMing, Den_US
dc.contributor.authorWan, Ben_US
dc.contributor.authorHu, Yen_US
dc.contributor.authorWang, Yen_US
dc.contributor.authorWang, Wen_US
dc.contributor.authorWu, Yen_US
dc.contributor.authorLu, Den_US
dc.date.accessioned2012-10-30T06:05:20Z-
dc.date.available2012-10-30T06:05:20Z-
dc.date.issued2007en_US
dc.identifier.citationTransactions Of Tianjin University, 2007, v. 13 n. 2, p. 93-97en_US
dc.identifier.issn1006-4982en_US
dc.identifier.urihttp://hdl.handle.net/10722/170105-
dc.description.abstractGait recognition is the key question of functional electrical stimulation (FES) system control for paraplegic walking. A risk-tendency-graph (RTG) method was proposed to recognize the stability information in FES-assisted walking gait. The main instrument was a specialized walker dynamometer system based on a multi-channel strain-gauge bridge network fixed on the walker frame. During walking process, this system collected the reaction forces between patient's upper extremities and walker and converted them into RTG morphologic curves of dynamic gait stability in temporal and spatial domains. To demonstrate the potential usefulness of RTG, preliminary clinical trials were done with paraplegic patients. The gait stability levels of two walking cases with 4- and 12-week FES training from one subject were quantified (0.43 and 0.19) from the results of temporal and spatial RTG. Relevant instable phases in gait cycle and dangerous inclinations of patient's body during walking process were also brought forward. In conclusion, the new RTG method is practical for distinguishing more useful gait stability information for FES system control.en_US
dc.languageengen_US
dc.publisherTianjin University. The Journal's web site is located at http://tjdy.chinajournal.net.cn/en_US
dc.relation.ispartofTransactions of Tianjin Universityen_US
dc.subjectFunctional Electrical Stimulationen_US
dc.subjectGait Recognitionen_US
dc.subjectParaplegic Walkingen_US
dc.subjectRisk-Tendency-Graphen_US
dc.titleNovel walking stability-based gait recognition method for functional electrical stimulation system controlen_US
dc.typeArticleen_US
dc.identifier.emailHu, Y:yhud@hku.hken_US
dc.identifier.authorityHu, Y=rp00432en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-34250013134en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34250013134&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume13en_US
dc.identifier.issue2en_US
dc.identifier.spage93en_US
dc.identifier.epage97en_US
dc.publisher.placeChinaen_US
dc.identifier.scopusauthoridMing, D=9745824400en_US
dc.identifier.scopusauthoridWan, B=7102316798en_US
dc.identifier.scopusauthoridHu, Y=7407116091en_US
dc.identifier.scopusauthoridWang, Y=7601516613en_US
dc.identifier.scopusauthoridWang, W=7501755807en_US
dc.identifier.scopusauthoridWu, Y=12140753900en_US
dc.identifier.scopusauthoridLu, D=7403079048en_US

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