Journal of Biomechanics
Volume 35, Issue 1 , Pages 109-115 , January 2002

The fundamental problem of myoskeletal inverse dynamics and its implications

  • Herbert Hatze

      Affiliations

    • Corresponding Author InformationTel.: +43-1-4277-48880; fax: +43-1-4277-48889

,Accepted 1 August 2001.

References 

  1. Andrews, J.G., 1995. Euler's and Lagrange's equations for linked rigid-body models of three-dimensional human motion. In: Allard, P., Stokes, I.A.F., Blanchi, J.P. (Eds.), Three-Dimensional Analysis of Human Movement. Human Kinetics, Leeds, pp. 145–175.
  2. Hatze H. A complete set of control equations for the human musculo–skeletal system. Journal of Biomechanics. 1977;10:799–805
  3. Hatze H. Neuromusculoskeletal control systems modeling—a critical survey of recent developments. IEEE Transactions on Automatic Control. 1980;AC-25:375–385
  4. Hatze H. A mathematical model for the computational determination of parameter values of anthropomorphic segments. Journal of Biomechanics. 1980;13:833–843
  5. Hatze H. A comprehensive model for human motion simulation and its application to the take-off phase of the long jump. Journal of Biomechanics. 1981;14:135–142
  6. Hatze H. The use of optimally regularized Fourier series for estimating higher-order derivatives of noisy biomechanical data. Journal of Biomechanics. 1981;14:13–18
  7. Hatze H. Motion variability—its definition, quantification, and origin. Journal of Motor Behavior. 1986;18:5–16
  8. Hatze H. The extended transentropy function as a useful quantifier of human motion variability. Medicine and Science in Sports and Exercise. 1995;27:751–759
  9. Hatze H. Progression of musculoskeletal models toward large-scale cybernetic myoskeletal models. In:  Winters JM,  Crago P editor. Biomechanics and Neural Control of Posture and Movement. New York: Springer; 2000;p. 425–437
  10. Hatze H. The inverse dynamics problem of neuromuscular control. Biological Cybernetics. 2000;82:133–141
  11. Hatze H. An efficient simulation method for discrete-value controled large-scale neuromyoskeletal system models. Journal of Biomechanics. 2001;34:267–271
  12. Kuo AD. A least squares estimation approach to improving the precision of inverse dynamics computations. Journal of Biomechanical Engineering. 1998;120(1):148–159
  13. McCaw ST, DeVita P. Errors in alignment of center of pressure and foot coordinates affect predicted lower extremity torques. Journal of Biomechanics. 1995;28:985–988
  14. Vaughan CL, Andrews JG, Hay JG. Selection of body segment parameters by optimization methods. Journal of Biomechanical Engineering. 1982;104:38–44
  15. Winter, D.A., 1990. Biomechanics and Motor Control of Human Movement. Wiley, New York, pp. 88–90.
  16. Winters JM. Terminology and foundations of movement science. In:  Winters JM,  Crago P editor. Biomechanics and Neural Control of Posture and Movement. New York: Springer; 2000;p. 17
  17. Zeigler BP, Praehofer H, Kim TG. Theory of modeling and simulation. New York: Academic Press; 2000;

PII: S0021-9290(01)00158-0

Journal of Biomechanics
Volume 35, Issue 1 , Pages 109-115 , January 2002

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