Split belt treadmill with differential velocity and biofeedback for well-balanced gait of patient with stroke

Takeshi Ando*, Eiichi Ohki, Yasutaka Nakashima, Yutaka Akita, Hiroshi Iijima, Osamu Tanaka, Masakatsu G. Fujie

*この研究の対応する著者

    研究成果: Conference contribution

    5 被引用数 (Scopus)

    抄録

    A split belt treadmill robot for gait rehabilitation was developed to improve the symmetry of the stance phase time of patients with stroke. The system, which increases the stance phase time of the affected leg and then realizes a well-balanced gait, is divided into two components. First, the stance phase of the unaffected ("sound") and affected legs is measured and presented visually in real time to the patient and physical therapist as biofeedback. Second, using the biofeedback of the stance phase, the physical therapist sets two different velocities of the treadmill belts for the sound and affected legs. In an experiment, eleven patients with chronic stroke participated in a short-term intervention trial (twenty gait cycles) of the developed treadmill system. Three of the five subjects who had lost balance between the stance phase of the sound leg and that of the affected one improved their gait balance in the intervention trial. In addition, one subject kept the well-balanced gait after the intervention. In the future, the algorithm to automatically adjust the belt velocities of the affected and sound sides and better biofeedback system with the sound leg information will be developed.

    本文言語English
    ホスト出版物のタイトル2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2010
    ページ1-6
    ページ数6
    DOI
    出版ステータスPublished - 2010
    イベント2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2010 - Tokyo
    継続期間: 2010 9 262010 9 29

    Other

    Other2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2010
    CityTokyo
    Period10/9/2610/9/29

    ASJC Scopus subject areas

    • 人工知能
    • 生体医工学

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