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A New Design Scheme for Intelligent Upper Limb Rehabilitation Training Robot

Author

Listed:
  • Yating Zhao

    (School of Management, Hefei University of Technology, Hefei 230009, China
    School of Economics and Management, Hefei Normal University, Hefei 230601, China)

  • Changyong Liang

    (School of Management, Hefei University of Technology, Hefei 230009, China)

  • Zuozuo Gu

    (Department of Art Design, Anhui University of Arts, Hefei 231635, China)

  • Yunjun Zheng

    (Anhui Key Laboratory of Digital Design and Manufacturing, Hefei University of Technology, Hefei 230009, China)

  • Qilin Wu

    (Anhui Key Laboratory of Digital Design and Manufacturing, Hefei University of Technology, Hefei 230009, China)

Abstract

In view of the urgent need for intelligent rehabilitation equipment for some disabled people, an intelligent, upper limb rehabilitation training robot is designed by applying the theories of artificial intelligence, information, control, human-machine engineering, and more. A new robot structure is proposed that combines the use of a flexible rope with an exoskeleton. By introducing environmentally intelligent ergonomics, combined with virtual reality, multi-channel information fusion interaction technology and big-data analysis, a collaborative, efficient, and intelligent remote rehabilitation system based on a human’s natural response and other related big-data information is constructed. For the multi-degree of the freedom robot system, optimal adaptive robust control design is introduced based on Udwdia-Kalaba theory and fuzzy set theory. The new equipment will help doctors and medical institutions to optimize both rehabilitation programs and their management, so that patients are more comfortable, safer, and more active in their rehabilitation training in order to obtain better rehabilitation results.

Suggested Citation

  • Yating Zhao & Changyong Liang & Zuozuo Gu & Yunjun Zheng & Qilin Wu, 2020. "A New Design Scheme for Intelligent Upper Limb Rehabilitation Training Robot," IJERPH, MDPI, vol. 17(8), pages 1-19, April.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:8:p:2948-:d:349956
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    References listed on IDEAS

    as
    1. Chenming Li & Han Zhao & Shengchao Zhen & Kang Huang & Hao Sun & Ke Shao & Bin Deng, 2017. "Trajectory Tracking Control of Parallel Manipulator Based on Udwadia-Kalaba Approach," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-12, December.
    2. Dongxiao Gu & Changyong Liang & Kyung-Sun Kim & Changhui Yang & Wenjuan Cheng & Jun Wang, 2015. "Which is More Reliable, Expert Experience or Information Itself? Weight Scheme of Complex Cases for Health Management Decision Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(03), pages 597-620.
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