• DocumentCode
    2489836
  • Title

    A portable inertial sensing-based spinal motion measurement system for low back pain assessment

  • Author

    Lee, Jung Keun ; Desmoulin, Geoffrey T. ; Khan, Aslam H. ; Park, Edward J.

  • Author_Institution
    Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    4737
  • Lastpage
    4740
  • Abstract
    Spinal motion measurement during dynamic conditions may help identify differences between individuals with and without low back pain (LBP). The purpose of this paper is to demonstrate the feasibility of an inertial sensing based, portable spinal motion measurement system for investigating the differences of the spinal motions between an LBP group and a healthy control group. During a fast flexion/extension test, we measured 3D angular motions of the pelvis, lumbar spine and thoracic spine of the two groups using the inertial sensing based system. Range of motions (ROM) and peak angular velocities were investigated to determine which variables have significant differences between the two groups (p <; 0.05). Also, a logistic regression analysis was carried out to see the classifying ability of the LBP patients from controls using the proposed system. The result shows that LBP was particularly associated with significant decreases in peak velocities of the lumbar spinal extension motion, having the maximum 90% sensitivity and 80% specificity in the classification according to the regression analysis. The result demonstrates the possibility of the proposed inertial sensing-based system to be served as an efficient tool in providing an accurate and continuous measurement of the spinal kinematics.
  • Keywords
    biomagnetism; biomechanics; biomedical equipment; biomedical measurement; bone; kinematics; magnetic sensors; medical signal processing; portable instruments; regression analysis; 3D angular motions; classifying ability; dynamic conditions; extension; flexion; logistic regression analysis; low back pain; low back pain assessment; lumbar spinal extension motion; lumbar spine; peak angular velocities; pelvis; portable inertial sensing; regression analysis; spinal kinematics; spinal motion measurement system; thoracic spine; Back; Logistics; Motion measurement; Pain; Pelvis; Sensors; Spine; Adult; Biomechanics; Case-Control Studies; Female; Humans; Low Back Pain; Male; Middle Aged; Pain Measurement; Spine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091173
  • Filename
    6091173