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Cross-Talk Correction Method for Knee Kinematics in Gait Analysis Using Principal Component Analysis (PCA): A New Proposal

Author

Listed:
  • Audrey Baudet
  • Claire Morisset
  • Philippe d'Athis
  • Jean-Francis Maillefert
  • Jean-Marie Casillas
  • Paul Ornetti
  • Davy Laroche

Abstract

Background: In 3D gait analysis, the knee joint is usually described by the Eulerian way. It consists in breaking down the motion between the articulating bones of the knee into three rotations around three axes: flexion/extension, abduction/adduction and internal/external rotation. However, the definition of these axes is prone to error, such as the “cross-talk” effect, due to difficult positioning of anatomical landmarks. This paper proposes a correction method, principal component analysis (PCA), based on an objective kinematic criterion for standardization, in order to improve knee joint kinematic analysis. Methods: The method was applied to the 3D gait data of two different groups (twenty healthy subjects and four with knee osteoarthritis). Then, this method was evaluated with respect to three main criteria: (1) the deletion of knee joint angle cross-talk (2) the reduction of variance in the varus/valgus kinematic profile (3) the posture trial varus/valgus deformation matching the X-ray value for patients with knee osteoarthritis. The effect of the correction method was tested statistically on variabilities and cross-talk during gait. Results: Cross-talk was lower (p

Suggested Citation

  • Audrey Baudet & Claire Morisset & Philippe d'Athis & Jean-Francis Maillefert & Jean-Marie Casillas & Paul Ornetti & Davy Laroche, 2014. "Cross-Talk Correction Method for Knee Kinematics in Gait Analysis Using Principal Component Analysis (PCA): A New Proposal," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-7, July.
    • Handle: RePEc:plo:pone00:0102098
    DOI: 10.1371/journal.pone.0102098
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    Cited by:

    1. Thiago Braga Rodrigues & Ciarán Ó Catháin & Noel E O’Connor & Niall Murray, 2020. "A Quality of Experience assessment of haptic and augmented reality feedback modalities in a gait analysis system," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-19, March.

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