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A physiology based inverse dynamic analysis of human gait: potential and perspectives

Author

Listed:
  • F. De Groote
  • G. Pipeleers
  • I. Jonkers
  • B. Demeulenaere
  • C. Patten
  • J. Swevers
  • J. De Schutter

Abstract

One approach to compute the musculotendon forces that underlie human motion is to combine an inverse dynamic analysis with a static optimisation procedure. Although computationally efficient, this classical inverse approach fails to incorporate constraints imposed by muscle physiology.The present paper reports on a physiological inverse approach (PIA) that combines an inverse dynamic analysis with a dynamic optimisation procedure. This allows the incorporation of a full description of muscle activation and contraction dynamics, without loss of computational efficiency.A comparison of muscle excitations and MT-forces predicted by the classical and the PIA is presented for normal and pathological gait. Inclusion of muscle physiology primarily affects the rate of active muscle force build-up and decay and allows the estimation of passive muscle force. Consequently, it influences the onset and cessation of the predicted muscle excitations as well as the level of co-contraction.

Suggested Citation

  • F. De Groote & G. Pipeleers & I. Jonkers & B. Demeulenaere & C. Patten & J. Swevers & J. De Schutter, 2009. "A physiology based inverse dynamic analysis of human gait: potential and perspectives," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 12(5), pages 563-574.
  • Handle: RePEc:taf:gcmbxx:v:12:y:2009:i:5:p:563-574
    DOI: 10.1080/10255840902788587
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    Cited by:

    1. Christofer J. Clemente & Friedl Groote & Taylor J. M. Dick, 2024. "Predictive musculoskeletal simulations reveal the mechanistic link between speed, posture and energetics among extant mammals," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

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