• DocumentCode
    746683
  • Title

    Ambulatory Center of Mass Prediction Using Body Accelerations and Center of Foot Pressure

  • Author

    Betker, Aimee L. ; Moussavi, Zahra M K ; Szturm, Tony

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnipeg, MB
  • Volume
    55
  • Issue
    11
  • fYear
    2008
  • Firstpage
    2491
  • Lastpage
    2498
  • Abstract
    The center of body mass (COM), center of foot pressure (COP), and body segment acceleration signals are commonly used to indicate movement performance and stability during standing activities and walking. For balance maintenance and restoration, the human brain is capable of estimating and predicting the COM even in the absence of visual or vestibular information. Thus, we hypothesized that the COM may be acquired through the processing of proprioceptive somatosensory information, represented by body segment accelerations, and an external spatial reference, the ground support, represented by the COP. To investigate this hypothesis, we modeled the relationships that exist between the COP and accelerometer data with the 3-D COM trajectory, during walking on firm and irregular surfaces. The models accounted for 99.85 plusmn 0.20% and 99.77 plusmn 0.39% of the resultant COM trajectory´s variability for the firm and irregular surfaces, respectively. This corresponded to a percentage error between the estimated and actual resultant COM of 16.06 plusmn 11.11% for the firm surface and 21.41 plusmn 12.70% for the doweling surface. In turn, this translates into an absolute error between the true and actual resultant COM of 3.62 plusmn 2.69 cm and 4.74 plusmn 3.01 cm for the firm and doweling surfaces, respectively. The model is novel in that it does not require any calibration and provides a reasonably accurate estimation of the COM, which can be compared to the brain´s balance performance. Hence, this model could be used instead of the cumbersome method of video motion analysis for COM calculation.
  • Keywords
    biomedical measurement; brain; gait analysis; mechanoception; neurophysiology; ambulatory center; balance maintenance; body accelerations; body segment acceleration signals; center-of-foot pressure; human brain; mass prediction; movement performance; proprioceptive somatosensory information; vestibular information; video motion analysis; visual information; Acceleration; Accelerometers; Brain modeling; Calibration; Foot; Ground support; Humans; Legged locomotion; Signal restoration; Stability; Body acceleration; center of body mass (COM); center of foot pressure (COP); modeling; walking; Acceleration; Adult; Algorithms; Biomechanics; Computer Simulation; Female; Foot; Gait; Humans; Male; Models, Biological; Postural Balance; Pressure; Reproducibility of Results; Walking;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2008.2001127
  • Filename
    4539789