• DocumentCode
    2954551
  • Title

    Bi-planar postural stability model: Fitting model parameters to patient data automatically

  • Author

    Sovol, Andrew W. ; Valles, Karla D Bustamante ; Riedel, Susan A. ; Harris, Gerald F.

  • Author_Institution
    Dept. of Biomed. Eng., Marquette Univ., Milwaukee, WI, USA
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    3962
  • Lastpage
    3965
  • Abstract
    Postural control can be a challenging task for many people, including those with cerebral palsy or idiopathic scoliosis. Assessment of postural stability can be used as one element of a comprehensive strategy to identify more efficient treatments and can provide a better understanding of postural control deficits. Several models and techniques have been developed to assess and understand postural imbalance. This study presents an improvement for an existing model that incorporates two algorithms designed to minimize a cost function.
  • Keywords
    biomechanics; medical disorders; neurophysiology; physiological models; biplanar postural stability model; cerebral palsy; idiopathic scoliosis; model parameters fitting; postural control; postural imbalance; Computational modeling; Data models; Mathematical model; Measurement; Pediatrics; Simulation; Stability analysis; biomechanics; diplegic cerebral palsy; model; postural stability; sway metrics; Algorithms; Automation; Cerebral Palsy; Humans; Models, Theoretical; Posture;
  • 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.2010.5627989
  • Filename
    5627989