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Comparison of Exoskeleton Robots and End-Effector Robots on Training Methods and Gait Biomechanics

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Intelligent Robotics and Applications (ICIRA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8102))

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Abstract

Rehabilitation robot positively improves walking ability of patients with gait disorders. Over the last decade, rehabilitation robot devices replaced the training of overground and treadmill. In this paper, our discussion focuses on exoskeleton robot and end-effector robot. The purpose of this study was to compare the training methods, gait Kinematic trajectories and muscle activity patterns on subjects when training on exoskeleton robot and end-effector robot.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, National Chiao-Tung University, Taiwan

    Pi-Ying Cheng & Po-Ying Lai

Authors
  1. Pi-Ying Cheng
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  2. Po-Ying Lai
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Pusan National University, South Korea

    Jangmyung Lee

  2. School of Mechanical Engineering, Pusan National University, Busan, South Korea

    Min Cheol Lee

  3. Intelligent Systems & Biomedical Robotics Group, School of Creative Technologies, University of Portsmouth, PO1 2DJ, England, UK

    Honghai Liu

  4. School of Mechanical Engineering, Biorobotics Laboratory, Korea University of Technology and Education, Gajeon-ri Byeongcheon-myeon 307, 330-708, Cheonan, Korea

    Jee-Hwan Ryu

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© 2013 Springer-Verlag Berlin Heidelberg

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Cheng, PY., Lai, PY. (2013). Comparison of Exoskeleton Robots and End-Effector Robots on Training Methods and Gait Biomechanics. In: Lee, J., Lee, M.C., Liu, H., Ryu, JH. (eds) Intelligent Robotics and Applications. ICIRA 2013. Lecture Notes in Computer Science(), vol 8102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40852-6_27

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  • DOI: https://doi.org/10.1007/978-3-642-40852-6_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40851-9

  • Online ISBN: 978-3-642-40852-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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