Development of body weight support gait training system using antagonistic bi-articular muscle model

Yoshiyuki Shibata, Shingo Imai, Tatsuya Nobutomo, Tasuku Miyoshi, Shin Ichiroh Yamamoto

研究成果: Conference contribution

18 被引用数 (Scopus)

抄録

The purpose of this study is to develop a body weight support gait training system for stroke and spinal cord injury. This system consists of a powered orthosis, treadmill and equipment of body weight support. Attachment of the powered orthosis is able to fit subject who has difference of body size. This powered orthosis is driven by pneumatic McKibben actuator. Actuators are arranged as pair of antagonistic bi-articular muscle model and two pairs of antagonistic mono-articular muscle model like human musculoskeletal system. Part of the equipment of body weight support suspend subject by wire harness, and body weight of subject is supported continuously by counter weight. The powered orthosis is attached equipment of body weight support by parallel linkage, and movement of the powered orthosis is limited at sagittal plane. Weight of the powered orthosis is compensated by parallel linkage with gas-spring. In this study, we developed system that has orthosis powered by pneumatic McKibben actuators and equipment of body weight support. We report detail of our developed body weight support gait training system.

本文言語English
ホスト出版物のタイトル2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
ページ4468-4471
ページ数4
DOI
出版ステータスPublished - 2010 12月 1
外部発表はい
イベント2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina
継続期間: 2010 8月 312010 9月 4

出版物シリーズ

名前2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Conference

Conference2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
国/地域Argentina
CityBuenos Aires
Period10/8/3110/9/4

ASJC Scopus subject areas

  • 生体医工学
  • コンピュータ ビジョンおよびパターン認識
  • 信号処理
  • 健康情報学

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