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Preliminary Study in a Novel Robotic-Assisted Femoral Shaft Fracture Reduction System

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Robot Intelligence Technology and Applications 4

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 447))

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Abstract

The minimally invasive surgical operation of intramedullary nailing has prevailed as a standard technique for a definite stabilizing treatment in femoral shaft fractures, and reduction is a critical step before carrying out an invasive operation. However, there are some disadvantages about this technology, such as the frequent radiation exposure for the operator and patients. This paper describes a novel cuff-type robotic-assisted femoral shaft fracture repositioning system, and preliminary discusses the constitutive modeling of passive transverse mechanical properties of skeletal muscle. Skeletal traction and fragments alignment for femur fracture reduction can be performed separately, which are standard procedures for surgeons in clinical. Correspondingly, the robotic system consists of distraction device, cuff-type reduction unit and remote control system. Preliminary experiments based on artificial models have been done, and the results show the effectiveness of the proposed robotic-assisted system, and indicate the potential value for further study.

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Acknowledgements

This research was supported by the Fundamental Research Funds for the Central Universities, the Graduate Student Scientific Research Innovation projects of General University of Jiangsu Province (No. KYLX_0101), and the Fundamental Research Funds for National Health and Family Planning Commission of P. R. China (W201307). The authors would like to thank the medical stuff of the Orthopaedic Trauma department of Nanjing First Hospital, who provided us an opportunity to observe the whole operation process personally, allowing us to know the surgery better. We also thank the Medical imaging department for performing the analysis with constructive discussions.

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Authors and Affiliations

  1. School of Mechanical Engineering, Southeast University, Nanjing, 211189, China

    Qing Zhu, Xingsong Wang & Xiaogang Sun

  2. Department of Orthopedics, Nanjing First Hospital, Nanjing, 210006, China

    Bin Liang

Authors
  1. Qing Zhu
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  2. Xingsong Wang
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  3. Xiaogang Sun
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  4. Bin Liang
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Corresponding author

Correspondence to Xingsong Wang .

Editor information

Editors and Affiliations

  1. Electrical Engineering, Korea Advanced Institute of Science & Technology, Daejeon, Korea (Republic of)

    Jong-Hwan Kim

  2. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada

    Fakhri Karray

  3. School of Information and Communication Technology, Griffith University, Gold Coast, Queensland, Australia

    Jun Jo

  4. Center for Intelligent Technologies, Technical University of Kosice, Kosice, Slovakia

    Peter Sincak

  5. Civil and Environmental Engineering, Korea Advanced Institute of Science & Technology, Daejeon, Korea (Republic of)

    Hyun Myung

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Zhu, Q., Wang, X., Sun, X., Liang, B. (2017). Preliminary Study in a Novel Robotic-Assisted Femoral Shaft Fracture Reduction System. In: Kim, JH., Karray, F., Jo, J., Sincak, P., Myung, H. (eds) Robot Intelligence Technology and Applications 4. Advances in Intelligent Systems and Computing, vol 447. Springer, Cham. https://doi.org/10.1007/978-3-319-31293-4_23

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  • DOI: https://doi.org/10.1007/978-3-319-31293-4_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31291-0

  • Online ISBN: 978-3-319-31293-4

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