• DocumentCode
    32455
  • Title

    Accurate Measurement of Concurrent Flexion–Extension and Internal–External Rotations in Smart Knee Prostheses

  • Author

    Arami, Arash ; Vallet, Axelle ; Aminian, Kamiar

  • Author_Institution
    Lab. of Movement Anal. & Meas., Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
  • Volume
    60
  • Issue
    9
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    2504
  • Lastpage
    2510
  • Abstract
    In this paper, we present a magnetic measurement system for integration into smart knee prostheses to accurately measure the combination of two knee rotations; namely flexion-extension (FE) and internal-external (IE) rotations. This measurement system consists of two permanent magnets inserted into the femoral and tibial parts of the prosthesis and a configuration of anisotropic magneto-resistive sensors placed in its polyethylene part. The sensor configuration was designed according to the sensitivity analysis. Several angle estimators were defined to obtain accurate angle estimations. These estimators ranged from different linear regression models to artificial neural networks. The estimators were trained and tested on several dynamic measurements of rotations of the prosthesis parts in a mechanical knee simulator also monitored using a stereophotogrammetry motion capture system. Considering the best estimators, the errors (mean ± SD) were 0.0° ± 0.9° and 0.2° ± 1.1° for IE and FE angle estimations, respectively. The imposed abduction-adduction (AA) rotations effect was investigated on the estimators in two cases: when the estimators were trained on data without AA (Case 1) and with AA (Case 2). The internal-external angle estimators showed high robustness to the imposed AA. The recorded errors for the best flexion-extension estimator were 0.9° ± 2.7° for Case 1 and 0.3° ± 1.7° for Case 2. The proposed system has thus demonstrated its ability to accurately estimate concurrent flexion-extension and internal-external rotations.
  • Keywords
    biomechanics; biomedical measurement; bone; magnetoresistive devices; neural nets; prosthetics; regression analysis; sensitivity analysis; abduction-adduction rotations; anisotropic magneto-resistive sensors; artificial neural networks; concurrent flexion-extension rotation measurement; femur; internal-external rotation measurement; linear regression models; mechanical knee simulator; permanent magnets; polyethylene; sensitivity analysis; smart knee prostheses; stereophotogrammetry motion capture system; tibia; Estimation; Iron; Magnetic sensors; Magnetic separation; Prosthetics; Rotation measurement; Anisotropic magneto-resistive (AMR) sensors; input selection; instrumented prosthesis; knee rotations; Humans; Knee Joint; Knee Prosthesis; Linear Models; Magnets; Models, Anatomic; Models, Theoretical; Neural Networks (Computer); Photogrammetry; Polyethylene; Prosthesis Design; Range of Motion, Articular; Reproducibility of Results;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2013.2259489
  • Filename
    6507286