• DocumentCode
    2295392
  • Title

    Wavelet Transform Based Quantification of Pivot-Shift Testing Using Inertial and Magnetic Composite MEMS Sensor

  • Author

    Kobashi, Syoji ; Tomaru, Akitomo ; Tsumori, Yohei ; Yoshiya, Shinichi ; Kuramoto, Kei ; Imawaki, Seturo ; Hata, Yutaka

  • Author_Institution
    Grad. Sch. of Eng., Univ. of Hyogo, Himeji, Japan
  • fYear
    2010
  • fDate
    19-21 Nov. 2010
  • Firstpage
    450
  • Lastpage
    455
  • Abstract
    Anterior cruciate ligament (ACL) injury and knee osteoarthritis are well-known injuries of the knee joint, and pivot shift is a symptom of the ACL injury. Today, to diagnose the pivot shift phenomenon, the manual testing is examined for the early diagnosis, however, it should be affected by inter- and intra observer variability. This article proposes a novel system for detecting and quantifying the pivot shift phenomenon during pivot-shift testing using inertial and magnetic composite micro electro mechanical systems (MEMS) sensor. The system estimated 3-D acceleration vector caused by the pivot shift phenomenon using wavelet transform. The experimental results indicated that the pivot shift phenomenon was detected and quantified. And, there are correlation between the maximum acceleration of the knee movement at the pivot shift and the conventional evaluation by assessors.
  • Keywords
    acceleration measurement; biomechanics; biomedical equipment; biomedical measurement; injuries; magnetic sensors; microsensors; patient diagnosis; wavelet transforms; 3D acceleration vector; anterior cruciate ligament injury; inertial sensor; knee joint; knee kinematics; knee osteoarthritis; magnetic composite MEMS sensor; microelectromechanical systems; patient diagnosis; pivot-shift testing; wavelet transform; MEMS; Pivot shift; anterior cruciate ligament; orhopaedics; wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Engineering and Technology (ICETET), 2010 3rd International Conference on
  • Conference_Location
    Goa
  • ISSN
    2157-0477
  • Print_ISBN
    978-1-4244-8481-2
  • Electronic_ISBN
    2157-0477
  • Type

    conf

  • DOI
    10.1109/ICETET.2010.65
  • Filename
    5698367