Predicting Knee Joint Contact Force Peaks During Gait Using a Video Camera or Wearable Sensors.

Journal: Annals of biomedical engineering
Published Date: Aug 3, 2024

Abstract

PURPOSE: Estimating loading of the knee joint may be helpful in managing degenerative joint diseases. Contemporary methods to estimate loading involve calculating knee joint contact forces using musculoskeletal modeling and simulation from motion capture (MOCAP) data, which must be collected in a specialized environment and analyzed by a trained expert. To make the estimation of knee joint loading more accessible, simple input predictors should be used for predicting knee joint loading using artificial neural networks.

Authors

  • Jere Lavikainen
    Department of Technical Physics, University of Eastern Finland, Yliopistonranta 1, 70211, Kuopio, Finland.
  • Lauri Stenroth
    Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.
  • Paavo Vartiainen
    Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.
  • Tine Alkjær
    Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Pasi A Karjalainen
    Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.
  • Marius Henriksen
    The Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.
  • Rami K Korhonen
    University of Eastern Finland, Kuopio, Finland.
  • Mimmi Liukkonen
    Diagnostic Imaging Centre, Kuopio University Hospital, Kuopio, Finland.
  • Mika E Mononen
    Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.

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