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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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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