• DocumentCode
    3217500
  • Title

    Using single leg standing time to predict the fall risk in elderly

  • Author

    Chun-Ju Chang ; Yu-Shin Chang ; Sai-Wei Yang

  • Author_Institution
    Dept. of Biomed. Eng., Nat. Yang-Ming Univ., Taipei, Taiwan
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    7456
  • Lastpage
    7458
  • Abstract
    In clinical evaluation, we used to evaluate the fall risk according to elderly falling experience or the balance assessment tool. Because of the tool limitation, sometimes we could not predict accurately. In this study, we first analyzed 15 healthy elderly (without falling experience) and 15 falling elderly (1~3 time falling experience) balance performance in previous research. After 1 year follow up, there was only 1 elderly fall down during this period. It seemed like that falling experience had a ceiling effect on the falling prediction. But we also found out that using single leg standing time could be more accurately to help predicting the fall risk, especially for the falling elderly who could not stand over 10 seconds by single leg, and with a significant correlation between the falling experience and single leg standing time (r = -0.474, p = 0.026). The results also showed that there was significant body sway just before they falling down, and the COP may be an important characteristic in the falling elderly group.
  • Keywords
    mechanoception; balance assessment tool; ceiling effect; clinical evaluation; fall risk; falling elderly; falling prediction; single leg standing time; Biomedical engineering; Communities; Correlation; Educational institutions; Senior citizens; Stability analysis; Trajectory; Falling elderly; center of pressure; single leg standing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6611282
  • Filename
    6611282