File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Risk-tendency graph (RTG): A new gait-analysis technique for monitoring FES-assisted paraplegic walking stability

TitleRisk-tendency graph (RTG): A new gait-analysis technique for monitoring FES-assisted paraplegic walking stability
Authors
KeywordsFunctional electrical stimulation
Gait analysis
Paraplegic walking
Risk-tendency graph
Walker tipping index
Issue Date2009
PublisherMedical Science International Publishing. The Journal's web site is located at http://www.medscimonit.com
Citation
Medical Science Monitor, 2009, v. 15 n. 8, p. MT105-MT112 How to Cite?
AbstractBackground: Gait analysis techniques guide the use and design of functional electrical stimulation (FES) systems for paraplegic walking. However, published studies on dynamic gait stability for the effective use of FES are limited. This paper introduces a new risk-tendency graph (RTG) technique to analyze and process gait stability in FES-assisted paraplegic walking. Material/Methods: The main instrument was a specialized walker dynamometer system based on a multi-channel strain-gauge bridge network affixed to the frame of the walker. This system collects force information for the handle reaction vector (HRV) between the patient's upper extremities and the walker during walking. The information is then converted into a walker tipping index (WTI), which is an indicator of the patient's walking stability. Dynamic gait stability is then combined with spatio-temporal locating methods for WTI and visually described as morphological curves in the temporal and spatial domains, namely RTGs. Results: To demonstrate the potential usefulness of RTG in gait analysis, a preliminary clinical trial was conducted with one male paraplegic patient who was undergoing FES walking training. The gait stability levels for the patient under different stimulation patterns were quantified using the results of temporal and 3-D spatial RTG. Relevant instable phases in the gait cycle and dangerous inclinations of the patient's body while walking were also clearly identified. Conclusions: The new RTG technique is a practical method for distinguishing useful gait information from the viewpoint of stability and may be further applied in FES-assisted paraplegic walking rehabilitation. © Med Sci Monit, 2009.
Persistent Identifierhttp://hdl.handle.net/10722/125161
ISSN
2012 Impact Factor: 1.358
2015 SCImago Journal Rankings: 0.512
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorMing, Den_HK
dc.contributor.authorHu, Yen_HK
dc.contributor.authorWong, Yen_HK
dc.contributor.authorWan, Ben_HK
dc.contributor.authorLuk, KDKen_HK
dc.contributor.authorLeong, JCYen_HK
dc.date.accessioned2010-10-31T11:14:56Z-
dc.date.available2010-10-31T11:14:56Z-
dc.date.issued2009en_HK
dc.identifier.citationMedical Science Monitor, 2009, v. 15 n. 8, p. MT105-MT112en_HK
dc.identifier.issn1234-1010en_HK
dc.identifier.urihttp://hdl.handle.net/10722/125161-
dc.description.abstractBackground: Gait analysis techniques guide the use and design of functional electrical stimulation (FES) systems for paraplegic walking. However, published studies on dynamic gait stability for the effective use of FES are limited. This paper introduces a new risk-tendency graph (RTG) technique to analyze and process gait stability in FES-assisted paraplegic walking. Material/Methods: The main instrument was a specialized walker dynamometer system based on a multi-channel strain-gauge bridge network affixed to the frame of the walker. This system collects force information for the handle reaction vector (HRV) between the patient's upper extremities and the walker during walking. The information is then converted into a walker tipping index (WTI), which is an indicator of the patient's walking stability. Dynamic gait stability is then combined with spatio-temporal locating methods for WTI and visually described as morphological curves in the temporal and spatial domains, namely RTGs. Results: To demonstrate the potential usefulness of RTG in gait analysis, a preliminary clinical trial was conducted with one male paraplegic patient who was undergoing FES walking training. The gait stability levels for the patient under different stimulation patterns were quantified using the results of temporal and 3-D spatial RTG. Relevant instable phases in the gait cycle and dangerous inclinations of the patient's body while walking were also clearly identified. Conclusions: The new RTG technique is a practical method for distinguishing useful gait information from the viewpoint of stability and may be further applied in FES-assisted paraplegic walking rehabilitation. © Med Sci Monit, 2009.en_HK
dc.languageengen_HK
dc.publisherMedical Science International Publishing. The Journal's web site is located at http://www.medscimonit.comen_HK
dc.relation.ispartofMedical Science Monitoren_HK
dc.subjectFunctional electrical stimulationen_HK
dc.subjectGait analysisen_HK
dc.subjectParaplegic walkingen_HK
dc.subjectRisk-tendency graphen_HK
dc.subjectWalker tipping indexen_HK
dc.titleRisk-tendency graph (RTG): A new gait-analysis technique for monitoring FES-assisted paraplegic walking stabilityen_HK
dc.typeArticleen_HK
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.naturelink_to_subscribed_fulltext-
dc.identifier.pmid19644428-
dc.identifier.scopuseid_2-s2.0-68449090288en_HK
dc.identifier.hkuros174068en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-68449090288&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume15en_HK
dc.identifier.issue8en_HK
dc.identifier.spageMT105en_HK
dc.identifier.epageMT112en_HK
dc.identifier.isiWOS:000269853500023-
dc.publisher.placePolanden_HK
dc.identifier.scopusauthoridMing, D=9745824400en_HK
dc.identifier.scopusauthoridHu, Y=7407116091en_HK
dc.identifier.scopusauthoridWong, Y=34882411200en_HK
dc.identifier.scopusauthoridWan, B=7102316798en_HK
dc.identifier.scopusauthoridLuk, KDK=7201921573en_HK
dc.identifier.scopusauthoridLeong, JCY=35560782200en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats