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A Patient-Specific EMG-Driven Musculoskeletal Model for Improving the Effectiveness of Robotic Neurorehabilitation

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Intelligent Robotics and Applications (ICIRA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8917))

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Abstract

An EMG-driven musculoskeletal model for controlling the human-inspired robotic neurorehabilitation is proposed in this paper. This model is built upon the state-of-the-art computer generated musculoskeletal framework which provides patient-specific muscular-tendon physiological, muscular-tendon kinematics parameters. Muscle forces and joint moment during locomotion are predicted through activation dynamics and contraction dynamics based on the hill-type muscle mechanics model. A hybrid Simulink-M simulated anneal algorithm is used for parameters optimization. The preliminary result showed that based on only a few EMG channels, the proposed model could efficiently predict joint moment and muscle forces. The proposed model has the potential to control the rehabilitation robot based only on a few of EMG channels from extensor and flexor muscle.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Faculty of Engineering, the University of Auckland, New Zealand

    Ye Ma & Sheng Quan Xie

  2. Department of Sport and Exercise Science, Faculty of Science, the University of Auckland, New Zealand

    Yanxin Zhang

Authors
  1. Ye Ma
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  2. Sheng Quan Xie
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  3. Yanxin Zhang
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Editor information

Editors and Affiliations

  1. School of Mechanical and Automobile Engineering, South China University of Technology, Wushan Rd. 381, Tianhe District, 510641, Guangzhou, China

    Xianmin Zhang , Zhong Chen  & Nianfeng Wang ,  & 

  2. Group of Intelligent System and Biomedical Robotics, School of Creative Technologies, University of Portsmouth, Portsmouth, United Kingdom

    Honghai Liu

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© 2014 Springer International Publishing Switzerland

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Ma, Y., Xie, S.Q., Zhang, Y. (2014). A Patient-Specific EMG-Driven Musculoskeletal Model for Improving the Effectiveness of Robotic Neurorehabilitation. In: Zhang, X., Liu, H., Chen, Z., Wang, N. (eds) Intelligent Robotics and Applications. ICIRA 2014. Lecture Notes in Computer Science(), vol 8917. Springer, Cham. https://doi.org/10.1007/978-3-319-13966-1_38

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  • DOI: https://doi.org/10.1007/978-3-319-13966-1_38

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13965-4

  • Online ISBN: 978-3-319-13966-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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