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Article: Novel walking stability-based gait recognition method for functional electrical stimulation system control
Title | Novel walking stability-based gait recognition method for functional electrical stimulation system control |
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Authors | |
Keywords | Functional Electrical Stimulation Gait Recognition Paraplegic Walking Risk-Tendency-Graph |
Issue Date | 2007 |
Publisher | Tianjin 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? |
Abstract | Gait 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 Identifier | http://hdl.handle.net/10722/170105 |
ISSN | 2023 Impact Factor: 6.7 2023 SCImago Journal Rankings: 1.502 |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ming, D | en_US |
dc.contributor.author | Wan, B | en_US |
dc.contributor.author | Hu, Y | en_US |
dc.contributor.author | Wang, Y | en_US |
dc.contributor.author | Wang, W | en_US |
dc.contributor.author | Wu, Y | en_US |
dc.contributor.author | Lu, D | en_US |
dc.date.accessioned | 2012-10-30T06:05:20Z | - |
dc.date.available | 2012-10-30T06:05:20Z | - |
dc.date.issued | 2007 | en_US |
dc.identifier.citation | Transactions Of Tianjin University, 2007, v. 13 n. 2, p. 93-97 | en_US |
dc.identifier.issn | 1006-4982 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/170105 | - |
dc.description.abstract | Gait 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.language | eng | en_US |
dc.publisher | Tianjin University. The Journal's web site is located at http://tjdy.chinajournal.net.cn/ | en_US |
dc.relation.ispartof | Transactions of Tianjin University | en_US |
dc.subject | Functional Electrical Stimulation | en_US |
dc.subject | Gait Recognition | en_US |
dc.subject | Paraplegic Walking | en_US |
dc.subject | Risk-Tendency-Graph | en_US |
dc.title | Novel walking stability-based gait recognition method for functional electrical stimulation system control | en_US |
dc.type | Article | en_US |
dc.identifier.email | Hu, Y:yhud@hku.hk | en_US |
dc.identifier.authority | Hu, Y=rp00432 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.scopus | eid_2-s2.0-34250013134 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-34250013134&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 13 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.spage | 93 | en_US |
dc.identifier.epage | 97 | en_US |
dc.publisher.place | China | en_US |
dc.identifier.scopusauthorid | Ming, D=9745824400 | en_US |
dc.identifier.scopusauthorid | Wan, B=7102316798 | en_US |
dc.identifier.scopusauthorid | Hu, Y=7407116091 | en_US |
dc.identifier.scopusauthorid | Wang, Y=7601516613 | en_US |
dc.identifier.scopusauthorid | Wang, W=7501755807 | en_US |
dc.identifier.scopusauthorid | Wu, Y=12140753900 | en_US |
dc.identifier.scopusauthorid | Lu, D=7403079048 | en_US |
dc.identifier.issnl | 1995-8196 | - |