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Design of A Lower Limb Rehabilitation Training Robot Based on A Double Four-Bar Synchronous Motion Mechanism

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Intelligent Robotics and Applications (ICIRA 2023)

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Abstract

For patients with lower limb dysfunction who need to complete gait rehabilitation training, a new single-degree-of-freedom human lower limb rehabilitation training robot was designed, and a mechanism dimensional synthesis method was proposed. In order to realize the motion trajectory of the foot, a single-degree-of-freedom planar four-bar mechanism is selected as the mechanism unit, and the functional relationship between the input and output of the planar four-bar mechanism is analyzed and established, and a double four-bar synchronous motion mechanism is used to realize the relative motion of the heel and toe joint. Then, a Watt II six-link mechanism and a deflation mechanism are used to realize the motion trajectory of the toes. By acquiring the human gait trajectory through the Xsens MVN Analyze, thus giving the rigid-body line of desired according to the motion trajectory. The desired rigid-body line is processed by the non-equal interval normalization method, and the mechanism is designed by the numerical atlas method and the approximate synthesis method. The results show that the designed single-degree-of-freedom mechanism can simulate the motion of normal human gait motion trajectory, and the effectiveness of the design method is verified by experiments.

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References

  1. Díaz, I., Gil, J.J., Sánchez, E.: Lower-limb robotic rehabilitation: literature review and challenges. J. Robot., 759–764 (2011)

    Google Scholar 

  2. Colombo, G., Joerg, M., Schreier, R., et al.: Treadmill training of paraplegic patients using a robotic orthosis. J. Rehabil. Res. Dev. 37(6), 693–700 (2000)

    Google Scholar 

  3. Wang, P., Low, K.H., Tow, A., et al.: Initial system evaluation of an overground rehabilitation gait training robot (NaTUre-gaits). Adv. Robot. 25(15), 1927–1948 (2011)

    Article  MATH  Google Scholar 

  4. Hassan, M., Kadone, H., Suzuki, K., et al.: Wearable gait measurement system with an instrumented cane for exoskeleton control. Sensors 14(1), 1705–1722 (2014)

    Article  Google Scholar 

  5. Zhang, J., Dong, Y., Yang, C., et al.: 5-Link model based gait trajectory adaption control strategies of the gait rehabilitation exoskeleton for post-stroke patients. Mechatronics 20(3), 368–376 (2010)

    Article  MATH  Google Scholar 

  6. Shao, Y., Xiang, Z., Liu, H., et al.: Conceptual design and dimensional synthesis of cam-linkage mechanisms for gait rehabilitation. Mech. Mach. Theory 104, 31–42 (2016)

    Article  MATH  Google Scholar 

  7. Schmidt, H., Volkmar, M., Werner, C., et al.: Muscle activation patterns of healthy subjects during floor walking and stair climbing on an end-effector-based gait rehabilitation robot. In: 2007 IEEE 10th International Conference on Rehabilitation Robotics, pp. 1077–1084. IEEE (2007)

    Google Scholar 

  8. Yoon, J., Novandy, B., Yoon, C.H., et al.: A 6-DOF gait rehabilitation robot with upper and lower limb connections that allows walking velocity updates on various terrains. IEEE/ASME Trans. Mechatron. 15(2), 201–215 (2010)

    Article  MATH  Google Scholar 

  9. Song, W., Zhao, P., Li, X., et al.: Data-driven design of a six-bar lower-limb rehabilitation mechanism based on gait trajectory prediction. In: IEEE Transactions on Neural Systems and Rehabilitation Engineering, pp. 109–118 (2022)

    Google Scholar 

  10. Li, M., Yan, J., Zhao, H., et al.: Mechanically assisted neurorehabilitation: a novel six-bar linkage mechanism for gait rehabilitation. IEEE Trans. Neural Syst. Rehabil. Eng. 29, 985–992 (2021)

    Article  MATH  Google Scholar 

  11. Goncalves, R.S., Soares, G., Carvalho, J.C.: Conceptual design of a rehabilitation device based on cam-follower and crank-rocker mechanisms hand actioned. J. Braz. Soc. Mech. Sci. Eng. 41, 1–12 (2019)

    Article  MATH  Google Scholar 

  12. Ji, Z., Manna, Y.: Synthesis of a pattern generation mechanism for gait rehabilitation. J. Med. Devices 2(3), 031004 (2008)

    Article  MATH  Google Scholar 

  13. Hesse, S., Uhlenbrock, D., Werner, C., et al.: A mechanized gait trainer for restoring gait in nonambulatory subjects. Arch. Phys. Med. Rehabil. 81(9), 1158–1161 (2000)

    Article  Google Scholar 

  14. Negrello, F., Garabini, M., Catalano, M.G., et al.: A modular compliant actuator for emerging high performance and fall-resilient humanoids. In: 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids), pp. 414–420. IEEE (2015)

    Google Scholar 

  15. Lohmeier, S., Buschmann, T., Ulbrich, H., et al.: Modular joint design for performance enhanced humanoid robot LOLA. In: Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006, pp. 88–93. IEEE (2006)

    Google Scholar 

  16. Nguyen, V.T., Kiuchi, D., Hasegawa, H.: Development of foot structure for humanoid robot using topology optimization. Adv. Eng. Forum 29, 34–45 (2018)

    Google Scholar 

  17. Nerakae, K., Hasegawa, H.: Bigtoe sizing design of small biped robot by using gait generation method. Appl. Mech. Mater. 541, 1079–1086 (2014)

    Google Scholar 

  18. Kouchaki, E., Sadigh, M.J.: Effect of toe-joint bending on biped gait performance. In: 2010 IEEE International Conference on Robotics and Biomimetics, pp. 697–702. IEEE (2010)

    Google Scholar 

  19. Narang, G., Kong, W., Xu, P., et al.: Comparison of bipedal humanoid walking with human being using inertial measurement units and force-torque sensors. In: Proceedings of the 2013 IEEE/SICE International Symposium on System Integration, pp. 198–203. IEEE (2013)

    Google Scholar 

  20. Yang, W., Zhang, X., Yang, C., et al.: Design of a lower extremity exoskeleton based on 5-bar human machine model. J. Zhejiang Univ. (Eng. Sci.) 48(3), 430–435 (2014)

    MATH  Google Scholar 

  21. Jiang, L., Wang, L., Wang, Y., Chen, J.: Mechanism design and analysis of a hybrid-input parallel rehabilitation robot with humanoid gaits. Robot 38(4), 495–503 (2016)

    Google Scholar 

Download references

Acknowledgments

This project was supported by the Science and Technology Research Project of the Jilin Provincial Department of Education [grant no. JJKH20220672KJ], Projects of Hubei Science and Technology Department [grant no. 2022CFC035], and Scientific Research Project of Education Department of Hubei Province under [grant no. D20222603].

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Correspondence to Wenrui Liu .

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Qu, X., Chu, H., Liu, W. (2023). Design of A Lower Limb Rehabilitation Training Robot Based on A Double Four-Bar Synchronous Motion Mechanism. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14273. Springer, Singapore. https://doi.org/10.1007/978-981-99-6498-7_46

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  • DOI: https://doi.org/10.1007/978-981-99-6498-7_46

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6497-0

  • Online ISBN: 978-981-99-6498-7

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