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Modeling of Human Elbow Joint Force Based on MVT Test

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Cross-Cultural Design (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14024))

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Abstract

Human biomechanics has practical value in the fields of medicine, sports and bionics. In order to explore the influencing factors of the maximum force exertion ability of human joints, the elbow joint in the human upper limb joint was selected as the research object, and a mathematical model of the maximum force exertion ability of the human elbow joint was established. In this paper, elbow angle, direction of movement, adjacent joint (shoulder) angle and type of movement (isometric and isokinetic motion) were selected as independent variables, and maximum torque and muscle activation were selected as dependent variables. The elbow data were collected from 31 men through elbow bend/extension isometric and isometric MVT tests. Then, the basic statistical indicators such as mean, standard deviation, maximum and minimum values of the dependent variable were calculated, and draw a bar chart for data visualization. Finally, the experiments have found that under different conditions, the maximum force and muscle activation values of the elbow joint are significantly different. From the analysis of the results, it can be seen that the angle of the adjacent joint and the type of movement can significantly affect the ability of the elbow joint to exert force. The direction of movement and the angle of the adjacent joint can significantly affect the activity of the main force muscles of the upper limb.

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References

  1. Ramsay, J.W., Hunter, B.V., Gonzalez, R.V.: Muscle moment arm and normalized moment contributions as reference data for musculoskeletal elbow and wrist joint models. J. Biomech. 42(4), 463–473 (2009)

    Article  Google Scholar 

  2. Alvarez, D., Alvarez, J.C., Gonzalez, R.: Upper limb joint angle measurement in occupational health. Comput. Methods Biomech. Biomed. Engin. 19(2), 159–170 (2016)

    Article  Google Scholar 

  3. Hoffmann, M., Haering, D., Begon, M.: Comparison between line and surface mesh models to represent the rotator cuff muscle geometry in musculoskeletal models. Comput. Methods Biomech. Biomed. Engin. 20(11), 1175–1181 (2017)

    Article  Google Scholar 

  4. Ligorio, G., Zanotto, D., Sabatini, A.M., Agrawal, S.K.: A novel functional calibration method for real-time elbow joint angles estimation with magnetic-inertial sensors. J. Biomech. 54, 106–110 (2017)

    Article  Google Scholar 

  5. Onuma, K., Yanai, T.: A method for measuring muscle strength in restraining valgus joint angulation: Elbow varus muscle strength against valgus loading. J. Biomech. 147, 111427 (2023)

    Article  Google Scholar 

  6. Kasprisin, J.E., Grabiner, M.D.: Joint angle-dependence of elbow flexor activation levels during isometric and isokinetic maximum voluntary contractions. Clin. Biomech. 15, 743–749 (2000)

    Article  Google Scholar 

  7. Ellwein, A., et al.: Biomechanical comparison of lateral collateral ligament reconstruction with and without additional internal bracing using a three-dimensional elbow simulator. Clin. Biomech. 81, 105236 (2021)

    Article  Google Scholar 

  8. Hill, C.E., Heales, L.J., Stanton, R., Holmes, M.W., Kean, C.O.: Effects of multidirectional elastic tape on forearm muscle activity and wrist extension during submaximal gripping in individuals with lateral elbow tendinopathy: A randomised crossover trial. Clin. Biomech. 100, 105810 (2022)

    Article  Google Scholar 

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Correspondence to Chunhui Wang .

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Li, H. et al. (2023). Modeling of Human Elbow Joint Force Based on MVT Test. In: Rau, PL.P. (eds) Cross-Cultural Design. HCII 2023. Lecture Notes in Computer Science, vol 14024. Springer, Cham. https://doi.org/10.1007/978-3-031-35946-0_36

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  • DOI: https://doi.org/10.1007/978-3-031-35946-0_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35945-3

  • Online ISBN: 978-3-031-35946-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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