• DocumentCode
    1694570
  • Title

    Evaluation of pivot shift in the anterior cruciate ligament-injured knee using inertial and magnetic sensors

  • Author

    Kawano, Keiro ; Kobashi, Syoji ; Tsumori, Yohei ; Shibanuma, Nao ; Imawaki, Seturo ; Yagi, Masayoshi ; Yoshiya, Shinichi ; Hata, Yutaka

  • Author_Institution
    Grad. Sch. of Eng., Univ. of Hyogo, Kobe
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The pivot shift test has been performed to assess the instability of the knee caused by anterior cruciate ligament (ACL) injuries. However, the test depends on the clinicianpsilas subjective feeling. In this study, inertial and magnetic sensors have been introduced into quantitative evaluation of the pivot shift test. The analysis method extracts the knee movement of the pivot shift by using wavelet transformation. In the result of applying the proposed method to the ACL injured subject, pivot shift phenomenon was detected correctly in comparison with reference video images taken simultaneously. In the quantitative assessment, the mean of the maximum acceleration during the pivot shift was 2.19 plusmn 0.69 m/s2, and the maximum acceleration values were correlated with grade scores based on the examinerpsilas subjective evaluation.
  • Keywords
    biomechanics; biosensors; magnetic sensors; wavelet transforms; anterior cruciate ligament-injured knee; inertial sensors; knee movement; magnetic sensors; pivot shift test; reference video images; wavelet transformation; Acceleration; Educational institutions; Injuries; Joints; Knee; Ligaments; Magnetic field measurement; Magnetic sensors; Testing; Time measurement; Anterior Cruciate Ligament; Inertial and magnetic sensor; Kinematics; Knee joint; Pivot shift; Quantification; Wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Congress, 2008. WAC 2008. World
  • Conference_Location
    Hawaii, HI
  • Print_ISBN
    978-1-889335-38-4
  • Electronic_ISBN
    978-1-889335-37-7
  • Type

    conf

  • Filename
    4698961