• DocumentCode
    672666
  • Title

    Experimental studies on static postural balance using the body center of gravity test system

  • Author

    Yun Ling ; Ying Xue ; Jianguo Xing ; Tao Jiang ; Chaona Guo

  • Author_Institution
    Sch. of Comput. & Inf. Eng., Zhejiang Gongshang Univ., Hangzhou, China
  • fYear
    2013
  • fDate
    1-3 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Balance function is an assurance that people can complete the daily activities, so people have dedicated to the study of the balance function. Balancer is widely used to detect human balance function, but the equipment and the costs of the test are too expensive and not suitable for widespread generalization. Based on the previous researches about balancer, this paper proposes to develop a body center of gravity (COG) testing system. The system consists of a testing platform, a data collection system, a data processing system, a computer, a monitoring device and analysis software of the center of pressure (COP). The testing system can test the balancing indications of people in static posture balance by which people can evaluate their static balancing ability. This system can be widely applied to detect posture balance on account of its low cost and small size.
  • Keywords
    bioelectric potentials; data analysis; gravity; mechanoception; medical signal detection; medical signal processing; sensors; body center of gravity test system; center of pressure; computer; data collection system; data processing system; human balance function; monitoring device; software analysis; static postural balance function; Computers; Gravity; Immune system; Sensors; Strain; Testing; Trajectory; balance function; center of gravity detection; static posture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Information and Communication Technologies for Ubiquitous HealthCare (Ubi-HealthTech), 2013 First International Symposium on
  • Conference_Location
    Jinhua
  • Print_ISBN
    978-1-4799-0764-9
  • Type

    conf

  • DOI
    10.1109/Ubi-HealthTech.2013.6708055
  • Filename
    6708055