Mechanism design and control strategies of an ankle robot for rehabilitation training

Tongyang Sun, Zhijiang Lu, Chunbao Wang, Lihong Duan, Yajing Shen, Qing Shi, Jianjun Wei, Yulong Wang, Weiguang Li, Jian Qin, Zhengzhi Wu

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    11 Citations (Scopus)

    Abstract

    It has become a trend that ankle rehabilitation robots replace traditional therapist in rehabilitation field. Many ankle rehabilitation robots have been proposed for rehabilitation training by researchers. However, most of current researches are only focusing on providing the passive training. They not only ignore the active force training for patient, but also neglect the relationship between passive training and neurological rehabilitation. In this paper, an ankle robot combining active training and passive training, subjective awareness and objective training is proposed. The ankle physiological model and mechanism of ankle rehabilitation robot are described. The control strategies of advanced training modes, passive training and active training, subjective awareness and objective training are introduced. Finally, experiments are established to testify the mechanical performance of ankle robot. Furthermore, experiment of passive training and active training is held among healthy people and the result show a good stability of the control system.
    Original languageEnglish
    Title of host publication2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
    PublisherIEEE
    Pages132-137
    ISBN (Print)9781467396745
    DOIs
    Publication statusPublished - Dec 2015
    Event2015 IEEE International Conference on Robotics and Biomimetics (IEEE-ROBIO 2015) - Zhuhai, China
    Duration: 6 Dec 20159 Dec 2015

    Conference

    Conference2015 IEEE International Conference on Robotics and Biomimetics (IEEE-ROBIO 2015)
    PlaceChina
    CityZhuhai
    Period6/12/159/12/15

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