• DocumentCode
    149568
  • Title

    An inertial sensor system for measurements of tibia angle with applications to knee valgus/varus detection

  • Author

    Wenzheng Hu ; Charry, E. ; Umer, M. ; Ronchi, A. ; Taylor, Stephen

  • Author_Institution
    DorsaVi Pty Ltd., Melbourne, VIC, Australia
  • fYear
    2014
  • fDate
    21-24 April 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Accurate measurement of knee motion during dynamic movements is the key to detect and highlight deficiencies in peripheral muscles and ligaments of the knee and hence to predict the risk of injury. Miniature inertial sensors are increasingly becoming a viable option for human movement measurement, given their small size, low cost and relatively good accuracy compared with traditional optical measurements. A system capable of measuring tibia angle using a shank mounted wireless inertial sensor is proposed. The system employs a simple setup with only one skin-mounted triaxial accelerometer and gyroscope module attached to the tibia segment, and an algorithm to estimate the tibia angle. The accuracy of the system was assessed by an optical tracking system (Optotrak Certus) during dynamic movements performed by three subjects by evaluating Root-Mean-Square Error (RMSE) of tibia-flexion and tibia-adduction angles over the period of motion. We achieve an RMSE of 1.6±1.1 and2.5±1.6 degrees in tibia-flexion and tibia-adduction angles, respectively. It is argued that tibia angle can be reliably used to detect valgus or varus movement of the knee and hence the proposed system provides a simple and useful assessment tool for performance enhancement and rehabilitation.
  • Keywords
    accelerometers; angular measurement; biomechanics; biomedical telemetry; body sensor networks; bone; design; estimation theory; injuries; mean square error methods; medical computing; medical disorders; patient rehabilitation; skin; telemedicine; Optotrak Certus; RMSE evaluation; accurate knee motion measurement; dynamic movements; gyroscope module attachment; human movement measurement; inertial sensor system setup; injury risk prediction; knee ligament deficiency detection; knee valgus detection applications; knee varus detection applications; miniature inertial sensor system; motion period; optical measurements; optical tracking system; performance enhancement; peripheral knee muscle deficiency detection; rehabilitation; root-mean-square error evaluation; shank mounted wireless inertial sensor; skin-mounted triaxial accelerometer; system accuracy assessment; tibia angle estimation algorithm; tibia angle measurements; tibia segment; tibia-adduction angles; tibia-flexion angles; Accelerometers; Accuracy; Gyroscopes; Injuries; Knee; Motion measurement; Quaternions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014 IEEE Ninth International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4799-2842-2
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2014.6827603
  • Filename
    6827603