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2022 | OriginalPaper | Buchkapitel

Surface Electromyography-Based Assessment of Muscle Contribution in Squatting Movements

verfasst von : Zheng Wang, Xiaorong Guan, Zhong Li, Boxuan Zheng, Hengfei Li, Yu Bai

Erschienen in: Intelligent Robotics and Applications

Verlag: Springer International Publishing

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Abstract

The surface EMG signal is an electrophysiological signal generated by muscle contraction and collected by placing electrodes on the skin surface, which contains rich information about muscle function and state. The current exoskeleton design also urgently needs to evaluate the muscle contribution to assist joint or part movement, and this result will directly affect the theoretical design of the exoskeleton. From this perspective, in this paper, we measured the surface EMG data during squatting for 10 test subjects, and set up a control group and an test group, with each control group doing 10 continuous squats and each test group doing 10 continuous squats with a hand weight of 10 kg. In this paper, 60 sets of surface EMG data of squatting movements of 10 test subjects were analyzed, and the contribution of 12 different parts of muscles was evaluated based on covariance matrix, and it was obtained that rectus femoris contributed more than 15% of the 12 muscles without weight-bearing, but the contribution of rectus femoris decreased by 50% under weight-bearing condition, and the contribution of medial femoris and biceps femoris increased significantly to more than 15% of the overall.

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Literatur
2.
Zurück zum Zitat Freund, H.J.: Motor unit and muscle activity in voluntary motor control. Physiol. Rev. 63(2), 387–436 (1983)CrossRef Freund, H.J.: Motor unit and muscle activity in voluntary motor control. Physiol. Rev. 63(2), 387–436 (1983)CrossRef
3.
Zurück zum Zitat Winter, D.A.: Biomechanics and Motor Control of Human Movement, 3rd edn. John Wiley & Sons Inc., Hoboken (2005) Winter, D.A.: Biomechanics and Motor Control of Human Movement, 3rd edn. John Wiley & Sons Inc., Hoboken (2005)
4.
Zurück zum Zitat Cheung, V.C.K., d’Avella, A., Bizzi, E.: Adjustments of motor pattern for load compensation via modulated activations of muscle synergies during natural behaviors. J. Neurophysiol. 101(3), 1235–1257 (2009)CrossRef Cheung, V.C.K., d’Avella, A., Bizzi, E.: Adjustments of motor pattern for load compensation via modulated activations of muscle synergies during natural behaviors. J. Neurophysiol. 101(3), 1235–1257 (2009)CrossRef
5.
Zurück zum Zitat Bizzi, E.: Motor control revisited: a novel view. Curr. Trends Neurol. 10, 75–80 (2016) Bizzi, E.: Motor control revisited: a novel view. Curr. Trends Neurol. 10, 75–80 (2016)
6.
Zurück zum Zitat Bizzi, E., Cheung, V.C.K., d'Avella, A., Saltiel, P., Tresch, M.: Combining modules for movement. Brain Res. Rev. 57(1), 125–133 (2008) Bizzi, E., Cheung, V.C.K., d'Avella, A., Saltiel, P., Tresch, M.: Combining modules for movement. Brain Res. Rev. 57(1), 125–133 (2008)
7.
Zurück zum Zitat Tresch, M.C., Jarc, A.: The case for and against muscle synergies. Curr. Opin. Neurobiol. 19(6), 601–607 (2009)CrossRef Tresch, M.C., Jarc, A.: The case for and against muscle synergies. Curr. Opin. Neurobiol. 19(6), 601–607 (2009)CrossRef
8.
Zurück zum Zitat Chu, J.-U., Moon, I., Mun, M.-S.: A real-time EMG pattern recognition based on linear-nonlinear feature projection for multifunction myoelectric hand. In: 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005, pp. 295–298 (2005) Chu, J.-U., Moon, I., Mun, M.-S.: A real-time EMG pattern recognition based on linear-nonlinear feature projection for multifunction myoelectric hand. In: 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005, pp. 295–298 (2005)
9.
Zurück zum Zitat Lee, D.D., Seung, H.S.: Learning the parts of objects by non-negative matrix factorization. Nature 401(6755), 788–791 (1999)CrossRef Lee, D.D., Seung, H.S.: Learning the parts of objects by non-negative matrix factorization. Nature 401(6755), 788–791 (1999)CrossRef
10.
Zurück zum Zitat Santuz, A., Ekizos, A., Janshen, L., Baltzopoulos, V., Arampatzis, A.: On the methodological implications of extracting muscle synergies from human locomotion. Int. J. Neural Syst. 27(5),1750007 (2017) Santuz, A., Ekizos, A., Janshen, L., Baltzopoulos, V., Arampatzis, A.: On the methodological implications of extracting muscle synergies from human locomotion. Int. J. Neural Syst. 27(5),1750007 (2017)
11.
Zurück zum Zitat Tresch, M.C., Cheung, V.C.K., d’Avella, A.: Matrix factorization algorithms for the identification of muscle synergies: evaluation on simulated and test data sets. J. Neurophysiol. 95(4), 2199–2212 (2006)CrossRef Tresch, M.C., Cheung, V.C.K., d’Avella, A.: Matrix factorization algorithms for the identification of muscle synergies: evaluation on simulated and test data sets. J. Neurophysiol. 95(4), 2199–2212 (2006)CrossRef
Metadaten
Titel
Surface Electromyography-Based Assessment of Muscle Contribution in Squatting Movements
verfasst von
Zheng Wang
Xiaorong Guan
Zhong Li
Boxuan Zheng
Hengfei Li
Yu Bai
Copyright-Jahr
2022
DOI
https://doi.org/10.1007/978-3-031-13835-5_67