• Title of article

    Estimation of anterior cruciate ligament tension from inverse dynamics data and electromyography in females during drop landing

  • Author/Authors

    Thomas W. Kernozek، نويسنده , , Robert J. Ragan، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2008
  • Pages
    8
  • From page
    1279
  • To page
    1286
  • Abstract
    Background Recent human performance studies have shown that various kinematic and kinetic parameters may be implicated in non-contact anterior cruciate ligament (ACL) injury during landing and cutting. In this paper, a phenomenological sagittal plane model was used to estimate the ACL tension during drop landing from the net knee moments and forces, obtained from inverse dynamics and electromyography. Methods Model parameters were determined with data from anatomical and ACL loading studies of cadaveric specimens. The model was used to process averaged data from 60 cm drop landing trials of sixteen healthy females. Findings ACL loading during drop landing occurred during the between toe and heel impact with a peak tension of 0.15 body weight. The factors that contributed to ACL tension were the patellar tendon force and the tibial slope in combination with the joint axial loads. Factors responsible for reducing ACL tension were hamstring and ground reaction forces. Interpretation Sagittal plane results largely confirmed a previous forward dynamics study of landing. The knee appeared to be largely stabilized against abduction moments due to the large axial loads present during drop landing for typical landing trials. Rotational moments were small in drop landing and contributed little to ACL tension. Estimates from this model can be used in human performance studies to determine the relative amount of ACL tension produced in different landing scenarios.
  • Keywords
    KNEE , injury , Motion analysis , Biomechanics , modeling
  • Journal title
    Clinical Biomechanics
  • Serial Year
    2008
  • Journal title
    Clinical Biomechanics
  • Record number

    487019