• DocumentCode
    429135
  • Title

    Center of mass function approximation

  • Author

    Betker, A.L. ; Moussavi, Z. ; Szturm, T.

  • Author_Institution
    Dept. of Electr. Eng., Manitoba Univ., Winnipeg, Man., Canada
  • Volume
    1
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    687
  • Lastpage
    690
  • Abstract
    A hybrid genetic algorithm sum-of-sines model is developed to estimate the resultant center of body mass (COM) trajectory. The COM is an important parameter to consider when evaluating or analyzing human postural control, and is indicative of the system´s stability. However, currently available systems that calculate the COM are not readily available for clinical routine assessment, making it difficult to widely assess balance problems. The input to the genetic sum-of-sines model developed in this paper is acquired through two accelerometers; equipment that is inexpensive, easy to use and portable. The results indicate that the model developed in this paper shows promising results for obtaining COM estimates that have clinical applications.
  • Keywords
    accelerometers; biomechanics; genetic algorithms; physiological models; accelerometers; balance problems; center of mass function approximation; human postural control; hybrid genetic algorithm sum-of-sines model; Accelerometers; Biological system modeling; Control system synthesis; Control systems; Electrical capacitance tomography; Function approximation; Genetic algorithms; Humans; Stability; Weight control; accelerometer; center of mass; genetic algorithm; sum-of-sines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403251
  • Filename
    1403251