論文

査読有り
2007年

Virtual robot for interactive gait training ∼ improving regularity and dynamic stability of the stride patterns∼

2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007
  • Takeshi Muto
  • ,
  • Barbara Herzberger
  • ,
  • Joachim Hermsdoerfer
  • ,
  • Ernst Poeppel
  • ,
  • Yoshihiro Miyake

開始ページ
1240
終了ページ
1247
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/ICCME.2007.4381942
出版者・発行元
IEEE

In this paper, we analyzed the gait support procedure of the lower limb's disturbance by our proposed gait support robot "Walk-Mate". "Walk-Mate" is a virtual locomotion robot, which supports the handicapped gait motion by presenting acoustic rhythmic stimuli controlled dynamically by its user's gait motion. We focused on the hemiplegia of lower limb and measured improvement of bilateral asymmetry with Walk-Mate's support. As the results, we found that the improvement procedure is realized by following characteristic two mechanisms; Short-term control with about 10 seconds of timescale for the improvement of the phase characteristics of the footstep rhythm and Long-term control with about a minute of timescale for the improvement of the complexity of gait motion pattern. Therefore the result suggests that Walk-Mate's rhythmic control mechanism is effective to improve the gait disturbance, from the viewpoints of the rhythm and complexity of gait, and that the improvements are realized by a two-level hierarchical control mechanism in interaction with the dynamic environment. © 2007 IEEE.

リンク情報
DOI
https://doi.org/10.1109/ICCME.2007.4381942
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000254165301052&DestApp=WOS_CPL
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=48149111814&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=48149111814&origin=inward
ID情報
  • DOI : 10.1109/ICCME.2007.4381942
  • SCOPUS ID : 48149111814
  • Web of Science ID : WOS:000254165301052

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