• DocumentCode
    3685493
  • Title

    Predicting daily gait behaviors after anterior cruciate ligament surgery: A case study

  • Author

    Eric Wade;Paige Lin;Sadra Hemmati;Susan Sigward

  • Author_Institution
    Faculty of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, USA
  • fYear
    2015
  • Firstpage
    6752
  • Lastpage
    6755
  • Abstract
    After surgical interventions such as anterior cruciate ligament reconstruction (ACLr), people exhibit altered gait mechanics due to joint impairments. Persistence of altered mechanics after resolution of impairments may be related to daily reinforcement of maladaptive behavior. Quantifying the contribution of such maladaptive motor strategies requires continuous monitoring of locomotor behaviors in the home setting. In this paper, we investigate an inertial sensor based approach to monitoring ambient activities. We evaluate the relative performance of our predictive algorithm on one control and one individual post-ACL reconstruction.
  • Keywords
    "Decision trees","Accuracy","Surgery","Thigh","Accelerometers","Ligaments","Monitoring"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7319943
  • Filename
    7319943