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

F. De Groote, G. Pipeleers, I. Jonkers, B. Demeulenaere, Carolynn Patten, J. Swevers, J. De Schutter

Research output: Contribution to journalArticlepeer-review

34 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)563-574
Number of pages12
JournalComputer Methods in Biomechanics and Biomedical Engineering
Issue number5
StatePublished - Dec 1 2009
Externally publishedYes


  • Biomechanics
  • Gait
  • Inverse dynamics
  • Motion analysis

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering
  • Computer Science Applications
  • Human-Computer Interaction


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