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Evaluation of Muscle Activation Reaction on Fore-Aft Dynamic Interference During Load-Carrying Level Walking

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Intelligent Robotics and Applications (ICIRA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13458))

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Abstract

Loading-carrying walking is a common and important task. Since carrying load is one of the main functions of wearable robotic devices, studying human responses to the dynamic disturbance of load-carrying can help to design sophisticated control algorithms for wearable robots. However, few studies focus on the effects of for-aft direction load on locomotion and the reaction of human has not been fully analyzed. This paper studies the surface Electromyography (sEMG) reaction under the fore-aft dynamic disturbance. A backpack is designed which can exert disturbance force on fore-aft direction during level walking. Comparison experiments, with and without load backpack, are performed to obtain kinematic and sEMG data from subjects. The muscle synergy is used to evaluate the dynamic responses of subjects to the disturbance. The experimental results indicate that subjects explore new patterns, expressed by different muscles synergies, to adapt to fore-aft interference through adjusting muscle activations. The obtained results may hint that human beings tend to utilize ankle strategy to exert fore-aft disturbance during level walking.

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References

  1. Kram, R.: Carrying loads with springy poles. J. Appl. Physiol. 71, 1119–1122 (1991)

    Article  Google Scholar 

  2. Ren, L., Jones, R.K., Howard, D.: Dynamic analysis of load carriage biomechanics during level walking. J. Biomech. 38, 853–863 (2005)

    Article  Google Scholar 

  3. Ackerman, J., Seipel, J.: A model of human walking energetics with an elastically-suspended load. J. Biomech. 47, 1922–1927 (2014)

    Article  Google Scholar 

  4. He, L., Xiong, C., Zhang, Q., Chen, W., Fu, C., Lee, K.M.: A backpack minimizing the vertical acceleration of the load improves the economy of human walking. IEEE Trans. Neural Syst. Rehabil. Eng. 28, 1994–2004 (2020)

    Article  Google Scholar 

  5. Yang, L., Zhang, J., Xu, Y., Chen, K., Fu, C.: Energy performance analysis of a suspended backpack with an optimally controlled variable damper for human load carriage. Mech. Mach. Theory 146, 103738 (2020)

    Article  Google Scholar 

  6. Martin, J.P., Li, Q.: Altering compliance of a load carriage device in the medial-lateral direction reduces peak forces while walking. Sci. Rep. 8, 13775 (2018)

    Article  Google Scholar 

  7. Yang, L., Xu, Y., Zhang, K., Chen, K., Fu, C.: Allowing the load to swing reduces the mechanical energy of the stance leg and improves the lateral stability of human walking. IEEE Trans. Neural Syst. Rehabil. Eng. 29, 429–441 (2021)

    Article  Google Scholar 

  8. Buchanan, T.S., Lloyd, D.G., Manal, K., Besier, T.F.: Estimation of muscle forces and joint moments using a forward-inverse dynamics model. Med. Sci. Sports Exerc. 37, 1911 (2005)

    Article  Google Scholar 

  9. Lee, D.D., Seung, H.S.: Learning the parts of objects by non-negative matrix factorization. Nature 401, 788–791 (1999)

    Article  Google Scholar 

  10. Torres-Oviedo, G., Ting, L.H.: Muscle synergies characterizing human postural responses. J. Neurophysiol. 98, 2144–2156 (2007)

    Article  Google Scholar 

  11. Zelik, K.E., La Scaleia, V., Ivanenko, Y.P., Lacquaniti, F.: Can modular strategies simplify neural control of multidirectional human locomotion? J. Neurophysiol. 111, 1686–1702 (2014)

    Article  Google Scholar 

  12. Ghislieri, M., et al.: Muscle synergy assessment during single-leg stance. IEEE Trans. Neural Syst. Rehabil. Eng. 28, 2914–2922 (2020)

    Article  Google Scholar 

  13. Clark, D.J., Ting, L.H., Zajac, F.E., Neptune, R.R., Kautz, S.A.: Merging of healthy motor modules predicts reduced locomotor performance and muscle coordination complexity post-stroke. J. Neurophysiol. 103, 844–857 (2010)

    Article  Google Scholar 

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Acknowledgment

This work was supported by the National Natural Science Foundation of China under Grant 61603284 and 61903286.

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Correspondence to Muye Pang .

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Liu, K., Xiang, K., Tang, B., Luo, J., Pang, M. (2022). Evaluation of Muscle Activation Reaction on Fore-Aft Dynamic Interference During Load-Carrying Level Walking. In: Liu, H., et al. Intelligent Robotics and Applications. ICIRA 2022. Lecture Notes in Computer Science(), vol 13458. Springer, Cham. https://doi.org/10.1007/978-3-031-13841-6_56

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  • DOI: https://doi.org/10.1007/978-3-031-13841-6_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-13840-9

  • Online ISBN: 978-3-031-13841-6

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