• DocumentCode
    778304
  • Title

    Application of cross time-frequency analysis to postural sway behavior: the effects of aging and visual systems

  • Author

    Shin, Yong-June ; Gobert, Denise ; Sung, Seung-Hoon ; Powers, Edward J. ; Park, Jin Bae

  • Author_Institution
    Dept. of Electr. Eng., South Carolina Univ., Columbia, SC, USA
  • Volume
    52
  • Issue
    5
  • fYear
    2005
  • fDate
    5/1/2005 12:00:00 AM
  • Firstpage
    859
  • Lastpage
    868
  • Abstract
    In this paper, the effects of visual feedback and aging on postural sway systems and signals are investigated by analyzing the transient phase difference between "input" and "output" which correspond to center of pressure (COP) and center of mass (COM), respectively. In order to analyze the transient phase difference characteristics of COP and COM, a relatively new cross time-frequency analysis technique that provides time- and frequency-localized phase difference information is utilized. The feedback control process in the postural sway is interpreted in terms of a feedback compensator which is characterized in terms of a phase difference. Using the experimental results of the transient phase difference obtained from the cross time-frequency distribution, it is demonstrated that the postural control of young persons are more stable and rely more on visual sensory feedback to stabilize postural control compared to that of the elderly persons.
  • Keywords
    biomechanics; feedback; time-frequency analysis; vision; aging effects; center of mass; center of pressure; cross time-frequency analysis; feedback compensator; feedback control; frequency-localized phase difference; postural sway behavior; time-localized phase difference; visual feedback effects; visual sensory feedback; Accidents; Aging; Costs; Feedback control; Information analysis; Injuries; Senior citizens; Signal analysis; Time frequency analysis; Transient analysis; Aging; cross time-frequency distribution; feedback control; phase difference spectrum; postural sway; time-frequency analysis; visual sensory system; Adaptation, Physiological; Adult; Aged; Aging; Algorithms; Computer Simulation; Diagnosis, Computer-Assisted; Feedback; Humans; Models, Neurological; Motor Activity; Movement; Musculoskeletal Equilibrium; Posture; Regression Analysis; Statistics as Topic; Vision;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2005.844278
  • Filename
    1420707