Quantification of temporal parameters for tripedalism

Arito Yozu, Dai Owaki, Masashi Hamada, Takuya Sasaki, Qi An, Tetsuro Funato, Nobuhiko Haga

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

Bipedalism is one of the distinctive features of humans. However, humans in certain conditions use tripedalism for their locomotion. Patients who cannot bear their weight on their own legs or patients with balance disorders often use a cane. Temporal parameters have been defined for bipedalism, while they have not been defined for tripedalism. Therefore, in clinical rehabilitation, evaluation of patients’ gait using a cane is still very much a qualitative issue. In this study, we propose how we can define the temporal parameters for tripedalism. We calculated six quantitative numbers: (1) gait cycle of leg 1, (2) lag of foot strike between leg 1 and leg 2, (3) lag of foot strike between leg 1 and leg 3, (4) stance phase of leg 1, (5) stance phase of leg 2, and (6) stance phase of leg 3. With a set of these six elements, the foot strike and foot-off pattern of the three legs is uniquely determined. Because these elements are measurable quantitatively, we are able to express the tripedal gait in a quantitative manner with this number set. We call this number set “gait matrix”. The application of this gait matrix may be useful for evaluating patients’ gait using a cane in rehabilitation.

本文言語英語
ホスト出版物のタイトルIntelligent Autonomous Systems 14 - Proceedings of the 14th International Conference IAS-14
編集者Weidong Chen, Hesheng Wang, Koh Hosoda, Emanuele Menegatti, Masahiro Shimizu
出版社Springer Verlag
ページ31-37
ページ数7
ISBN(印刷版)9783319480350
DOI
出版ステータス出版済み - 2017
外部発表はい
イベント14th International Conference on Intelligent Autonomous Systems, IAS 2016 - Shanghai, 中国
継続期間: 7 3 20167 7 2016

出版物シリーズ

名前Advances in Intelligent Systems and Computing
531
ISSN(印刷版)2194-5357

会議

会議14th International Conference on Intelligent Autonomous Systems, IAS 2016
Country中国
City Shanghai
Period7/3/167/7/16

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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