• DocumentCode
    2924129
  • Title

    A single gyroscope method for spatial gait analysis

  • Author

    Doheny, Emer P. ; Foran, Timothy G. ; Greene, Barry R.

  • Author_Institution
    Intel´´s Digital Health Group, TRIL Centre, Leixlip, Ireland
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    1300
  • Lastpage
    1303
  • Abstract
    Inertial sensors have become increasingly popular in gait analysis, due to their highly portable, low cost, and potentially wireless nature. However, accurate spatial gait analysis using few sensors remains a challenge. A gyroscope-based algorithm for spatial gait analysis is presented. This novel algorithm (SGA) uses data from a single gyroscope attached to each shank. The performance of the SGA was compared to that of an electronic walkway, GAITRite®. The two systems compared favorably, with a mean error in stride length of 0.09 ± 0.07 m, and a mean error in stride velocity of 0.11 ± 0.10 m/s. The error between the SGA and GAITRite was also similar to that reported by previous inertial sensor based algorithms. The relationship between stride length and stride velocity, as well as that of subject height and stride length was also examined. This new method provides an inexpensive, portable system for spatial or spatio-temporal gait analysis, which has potential for use in any location.
  • Keywords
    biomedical equipment; biomedical measurement; gait analysis; gyroscopes; electronic walkway; gyroscope-based algorithm; portable system; single gyroscope method; spatial gait analysis; spatio-temporal gait analysis; stride length; stride velocity; Accelerometers; Algorithm design and analysis; Biomedical measurements; Gyroscopes; Leg; Legged locomotion; Sensors; Acceleration; Algorithms; Computer Simulation; Female; Gait; Humans; Locomotion; Male; Models, Biological; Monitoring, Ambulatory; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5626397
  • Filename
    5626397