• DocumentCode
    636984
  • Title

    Quantitative analysis of the fall-risk assessment test with wearable inertia sensors

  • Author

    Tmaura, Toshiyo ; Zakaria, N.A. ; Kuwae, Yutaka ; Sekine, Masakazu ; Minato, Kenji ; Yoshida, Manabu

  • Author_Institution
    Dept. of Biomed. Eng., Osaka Electro-Commun. Univ., Neyagawa, Japan
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    7217
  • Lastpage
    7220
  • Abstract
    We performed a quantitative analysis of the fall-risk assessment test using a wearable inertia sensor focusing on two tests: the time up and go (TUG) test and the four square step test (FSST). These tests consist of various daily activities, such as sitting, standing, walking, stepping, and turning. The TUG test was performed by subjects at low and high fall risk, while FSST was performed by healthy elderly and hemiplegic patients with high fall risk. In general, the total performance time of activities was evaluated. Clinically, it is important to evaluate each activity for further training and management. The wearable sensor consisted of an accelerometer and angular velocity sensor. The angular velocity and angle of pitch direction were used for TUG evaluation, and those in the pitch and yaw directions at the thigh were used for FSST. Using the threshold of the angular velocity signal, we classified the phase corresponding to each activity. We then observed the characteristics of each activity and recommended suitable training and management. The wearable sensor can be used for more detailed evaluation in fall risk management. The wearable sensor can be used more detailed evaluation for fall-risk management test.
  • Keywords
    accelerometers; biomechanics; biomedical measurement; body sensor networks; geriatrics; mechanoception; risk analysis; TUG test; accelerometer; activity total performance time; angular velocity sensor; angular velocity signal; fall-risk assessment test; fall-risk management test; four square step test; healthy elderly; hemiplegic patient; pitch angle direction; quantitative analysis; sitting; standing; stepping; time up and go test; turning; walking; wearable inertia sensor; yaw direction; Angular velocity; Legged locomotion; Senior citizens; Sensors; Thigh; Wireless communication; Wireless sensor networks;
  • 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.2013.6611223
  • Filename
    6611223