Analysis of interaction between therapist and hemiplegic patient for control of lateral pelvic motion during robotic gait training

Takao Watanabe, Tatsuya Tono, Yasutaka Nakashima, Kazuya Kawamura, Jim Inoue, Yoshifumi Kijima, Yuki Toyonaga, Tadahiko Yuji, Yuji Higashi, Toshiro Fujimoto, Masakatsu G. Fujie

    研究成果: Conference contribution

    2 被引用数 (Scopus)

    抄録

    Robotic gait training has been introduced recently in rehabilitation, and the related researches have been conducted to propose more effective mechanism and control. To automate gait training, position control with reference trajectory has been adopted in many researches. However, there remain problems such as enhancing self-dominated gait or adapting to asymmetry or individual difference to apply robotic gait training to moderately affected hemiplegia patient. To solve this problem, we quantified the manual pelvic assistance (handling) provided by physical therapy, which can enhance patient's self dominated gait individually. In this paper, the physical model of handling was proposed based on the measurement and verified by multiple regression analysis.

    本文言語English
    ホスト出版物のタイトルProceedings - IEEE International Conference on Robotics and Automation
    ページ2663-2668
    ページ数6
    DOI
    出版ステータスPublished - 2013
    イベント2013 IEEE International Conference on Robotics and Automation, ICRA 2013 - Karlsruhe
    継続期間: 2013 5 62013 5 10

    Other

    Other2013 IEEE International Conference on Robotics and Automation, ICRA 2013
    CityKarlsruhe
    Period13/5/613/5/10

    ASJC Scopus subject areas

    • Software
    • Artificial Intelligence
    • Control and Systems Engineering
    • Electrical and Electronic Engineering

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