Abstract
A fundamental problem in human movement analyses is the quantification of individual, time- varying, muscle forces. Muscle forces not only play a major role in determining the stresses in bones and joints, but they also reflect the underlying neural control processes responsible for the observed movement patterns. Unfortunately, invasive techniques for measuring muscle forces are highly objectionable, whereas non-invasive techniques such as electromyography do not provide the quantitative accuracy needed to define muscle’s action on the skeleton. In addition, the human musculoskeletal system is mechanically redundant (i.e., the number of muscles spanning a joint exceeds the number of degrees of freedom defining joint motion) so that a direct solution of the muscle force-joint torque equations is not possible.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aleshinsky, S.Y. (1986). An energy “sources” and “fractions” approach to the mechanical energy expenditure problem. II. Movement of the multi-link chain model. J. Biomech. 19: 295–300.
Bobbert, M.F., and van Ingen Schenau, G. (1988). Coordination in vertical jumping. J. Biomech. 21: 249–262.
Bobbert, M.F., Huijing, P.A., and van Ingen Schenau, G. (1986). An estimation of power output and work done by the human triceps surae muscle-tendon complex in jumping. J. Biomech. 19: 899–906.
Chow, C.K., and Jacobson, D.H. (1971). Studies of human locomotion via optimal programming. Math. Biosci. 10: 239–306.
Crowninshield, R.D. (1978). Use of optimization tech¬niques to predict muscle forces. J. Biomech. Engng. 100: 88–92.
Davy, D.T., and Audu, M.L. (1987). A dynamic optimization technique for predicting muscle forces in the swing phase of gait. J. Biomech. 20: 187–201.
Ghosh, T.K., and Boykin, W.H. (1976). Analytic determination of an optimal human motion. J. Opt. Theory Appl. 19: 327–346.
Gregoire, L., Veeger, H.E., Huijing, P.A., and van Ingen Schenau, G. (1984). Role of mono- and Particular muscles in explosive movements. Int. J. Sports Med. 5: 301–305.
Hardt, D.E. (1978). Determining muscle forces in the leg during human walking: An application and evaluation of optimization methods. J. Biomech. Engng. 100: 72–78.
Hatze, H. (1987). Gait analysis:Adequacy of current models and research strategies. J. Motor Behavior 19: 280–287.
Hatze, H. (1980). Neuromusculoskeletal control systems modeling — A critical survey of recent developments. IEEE Trans. Auto. Control AC-25: 375–385.
Hatze, H. (1978). A general myocybemetic control model of skeletal muscle. Biol. Cybernetics 28: 143–157.
Hatze, H. (1976). The complete optimization of a human motion. Math. Biosci. 28: 90–99.
Komi, P. V., and Bosco, C. (1978). Utilization of stored elastic energy in leg extensor muscles by men and women. Med. Sci. Sports 10: 261–265.
Pandy, M.G., Zajac, F.E., Sim, E., and Levine, W.S. (1990). An optimal control model for maximum- height human jumping. J. Biomech. (in press).
Pandy, M.G., and Zajac, F.E. (1990). Optimal muscular coordination strategies for jumping. J. Biomech. (in press).
Pandy, M.G., and Zajac, F.E. (1989). Dependence of jumping performance on muscle strength, muscle- fiber speed, and tendon compliance. In Stein, J.L. et al. (eds.): Issues in the Modeling and Control of Biomechanical Systems, 1989 ASME Winter Annual Meeting in San Francisco. New York: The American Society of Mechanical Engineers.
Sim, E. (1988). The application of optimal control theory for analysis of human jumping and pedaling. Ph.D. dissertation, Department of Electrical Engineering, University of Maryland, College Park.
Zajac, F.E., and Gordon, M.E. (1989). Determining muscle’s force and action in multi-articular movement. Exer. Sport Sci. Revs. 17: 187–230.
Zajac, F.E. (1989). Muscle and tendon: Properties, models, scaling, and application to biomechanics and motor control. CRC Critical Rev. Biomed. Engng. 17: 359–411.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1990 Springer-Verlag
About this chapter
Cite this chapter
Pandy, M.G. (1990). An Analytical Framework for Quantifying Muscular Action During Human Movement. In: Winters, J.M., Woo, S.LY. (eds) Multiple Muscle Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-9030-5_42
Download citation
DOI: https://doi.org/10.1007/978-1-4613-9030-5_42
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4613-9032-9
Online ISBN: 978-1-4613-9030-5
eBook Packages: Springer Book Archive