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International Conference on Intelligent Robotics and Applications

ICIRA 2017: Intelligent Robotics and Applications pp 3–13Cite as

Ankle Active Rehabilitation Strategies Analysis Based on the Characteristics of Human and Robotic Integrated Biomechanics Simulation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10462))

Abstract

Ankle rehabilitation exercise therapy mainly includes passive, active, and resistance rehabilitations. Active rehabilitation exercise is highly important during ankle rehabilitation, how to combine the ankle and the rehabilitation robot has elicited considerable research attention. This paper proposed a combination strategy for the ankle and the rehabilitation robot based on a 3D modeling of the ankle and the robot developed individually based on simulation software (AnyBody). By integrating the 3D models of the human body and the robot, setting constraints between the pedal of the robot and the pelma of the human body and the degrees of freedom of the ankle is constrained as 3, a man-machine integration model for ankle active rehabilitation strategy analysis was established. Then, human muscle characteristics were established under the combination of different variables and the range of ankle motion were carried out by the human body active movement with ankle plantar/dorsal flexion motion, this further leads to strategies for ankle active rehabilitation. Finally, this paper designs the driving function for the robot based on Fourier function, and the force condition for the ankle movement during rehabilitation exercise was evaluated from the perspective of biomechanics. This study would provide a fundamental reference for the further formulation of active rehabilitation strategies and the control of rehabilitation robots.

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References

  1. Zhang, M., Claire, D.T., Xie, S.: Effectiveness of robot-assisted therapy on ankle rehabili-tation – a systematic review. J. Neuroengineering Rehabil. 10(1), 30 (2013)

    Article  Google Scholar 

  2. Wang, J.: Rehabilitation of ankle joint and foot. Chin. Rehabil. Theor. Pract. 14(12), 1197–1198 (2008)

    Google Scholar 

  3. Girone, M.J., Burdea, G.C., Bouzit, M.: Rutgers ankle orthopedic rehabilitation interface. ASME Dyn. Syst. Control Div. DSC 67, 305–312 (1999)

    Google Scholar 

  4. Dai, J.S., Zhao, T., Nester, C.: Sprained ankle physiotherapy based mechanism synthesis and stiffness analysis of a robotic rehabilitation device. Auton. Robots 16, 207–218 (2004)

    Article  Google Scholar 

  5. Saglia, J.A., Dai, J.S., Caldwell, D.G.: Geometry and kinematic analysis of a redundantly actuated parallel mechanism that eliminates singularities and improves dexterity. J. Mech. Des. 130(12), 1786–1787 (2008)

    Article  Google Scholar 

  6. Takemura, H., Onodera, T., Ding, M., et al.: Design and control of a wearable stewart plat-form-type ankle-foot assistive device. Int. J. Adv. Robot. Syst. 9, 1–7 (2012)

    Article  Google Scholar 

  7. Xie, S.Q., Jamwal, P.K.: An iterative fuzzy controller for pneumatic muscle driven reha-bilitation robot. Expert Syst. Appl. Int. J. 38(7), 8128–8137 (2011)

    Article  Google Scholar 

  8. Agrawal, A., Sangwan, V., Banala, S.K., Agrawal, S.K., Stuart, A.: Binder-macleod, de-sign of a novel two degree-of-freedom ankle-foot orthosis. J. Mech. Des. 129, 1137–1143 (2007)

    Article  Google Scholar 

  9. Yoon, J., Ryu, J.: A novel reconfigurable ankle/foot rehabilitation robot. In: Proceedings of the 2005 IEEE International Conference on Robotics and Automation, Barcelona, Spain, pp. 2290–2295 (2005)

    Google Scholar 

  10. Yoon, J., Ryu, J., Lim, K.S.: Reconfigurable ankle rehabilitation robot for various exercises. J. Robot. Syst. 22, S16–S33 (2006)

    Article  Google Scholar 

  11. Yu, H.: Design of parallel ankle rehabilitation robot system. YanShan University (2006)

    Google Scholar 

  12. Liu, G., Gao, J., Yue, H., et al.: Design and kinematics analysis of parallel robots for ankle rehabilitation intelligent robots and systems. In: 2006 IEEE/RSJ International Conference on IEEE, pp. 253–258 (2006)

    Google Scholar 

  13. Zhang, L.X., Sun, H.Y., Qian, Z.M.: Kinematics analysis and simulation of horizontal lower limbs rehabilitative robot. J. Syst. Simul. 22(8), 2001–2005 (2010)

    Google Scholar 

  14. Warnica, M.J., Weaver, T.B., Prentice, S.D., et al.: The influence of ankle muscle activation on postural sway during quiet stance. Gait Posture 39(4), 1115–1121 (2014)

    Article  Google Scholar 

  15. Weaver, T.B., Glinka, M.N., Laing, A.C.: Stooping, crouching, and standing – characterizing balance control strategies across postures. J. Biomech. 53, 90–96 (2017)

    Article  Google Scholar 

  16. Hisashi, N., Yasushi, A., Ayu, M., et al.: Identification of individual muscle length parameters from measurements of passive joint moment around the ankle joint. J. Biomech. Sci. Eng. 7(2), 168–176 (2012)

    Article  Google Scholar 

  17. Robertson, B.D., Sawicki, G.S.: Influence of parallel spring-loaded exoskeleton on ankle muscle-tendon dynamics during simulated human hopping. In: 33rd Annual International Conference of the IEEE EMBS, Boston, Massachusetts, USA, pp. 583–586, 30 August–3 September 2011

    Google Scholar 

  18. Cheung, J.T., Zhang, M., Leung, A.K., et al.: Three—dimensional finite element an analysis of the foot during standing-a material sensitivity study. J. Biomech. 38(5), 1045–1054 (2005)

    Article  Google Scholar 

  19. Zhang, Q.X., Zhang, L., Wang, G.X.: Effect of local muscle fatigue on the proprioception of the ankle joint. Chin. Sport Sci. 31(3), 68–74 (2011)

    Google Scholar 

  20. Zhang, Q.X.: The test-retest reliability of ankle muscle force perception with different target moments. In: Conference of the Fourteenth National Conference on Sports Bio-Mechanics, pp. 404–407 (2010)

    Google Scholar 

  21. Zhang, Q.X., Zhang, L.: The test-retest reliability of ankle joint position and the perception of muscle force. J. Clin. Rehabil. Tissue Eng. Res. 14(35), 6520–6524 (2010)

    Google Scholar 

  22. Tang, G.: Simulation analysis of human body based on biomechanics. In: Shanghai: School of Mechanical and Power Engineering, Shanghai Jiao Tong University (2011)

    Google Scholar 

  23. Jin, Y., Tang, Z.: Analysis of the causes of the injury from the anatomical structure of the ankle joint. Phys. Educ. Rev. 35(7), 87, 88 (2016)

    Google Scholar 

  24. Liu, Y., Zhou, S.Y., Zhen, Y.J., et al.: Effects of gastrocnemius muscle force on foot bio-mechanics based on finite element analysis. J. Med. Biomech. 31(5), 37–442 (2016)

    Google Scholar 

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Authors and Affiliations

  1. School of Mechanical Engineering and Automation, Fuzhou University, No. 2, Xueyuan Road, Fuzhou, 350116, Fujian, China

    Zhiwei Liao, Zongxin Lu, Chen Peng, Yang Li, Jun Zhang & Ligang Yao

Authors
  1. Zhiwei Liao
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  2. Zongxin Lu
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  3. Chen Peng
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  4. Yang Li
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  5. Jun Zhang
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  6. Ligang Yao
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Corresponding authors

Correspondence to Jun Zhang or Ligang Yao .

Editor information

Editors and Affiliations

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    YongAn Huang

  2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Hao Wu

  3. Institute of Industrial Research, University of Portsmouth, Portsmouth, United Kingdom

    Honghai Liu

  4. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

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Liao, Z., Lu, Z., Peng, C., Li, Y., Zhang, J., Yao, L. (2017). Ankle Active Rehabilitation Strategies Analysis Based on the Characteristics of Human and Robotic Integrated Biomechanics Simulation. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10462. Springer, Cham. https://doi.org/10.1007/978-3-319-65289-4_1

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  • DOI: https://doi.org/10.1007/978-3-319-65289-4_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65288-7

  • Online ISBN: 978-3-319-65289-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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