• DocumentCode
    141492
  • Title

    Choice stepping reaction time test using exergame technology for fall risk assessment in older people

  • Author

    Ejupi, Andreas ; Brodie, Matthew ; Gschwind, Yves J. ; Schoene, Daniel ; Lord, Sue ; Delbaere, Kim

  • Author_Institution
    Assistive Healthcare Inf. Technol. Group, Austrian Inst. of Technol., Vienna, Austria
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    6957
  • Lastpage
    6960
  • Abstract
    Accidental falls remain an important problem in older people. Stepping is a common task to avoid a fall and requires good interplay between sensory functions, central processing and motor execution. Increased choice stepping reaction time has been associated with recurrent falls in older people. The aim of this study was to examine if a sensor-based Exergame Choice Stepping Reaction Time test can successfully discriminate older fallers from non-fallers. The stepping test was conducted in a cohort of 104 community-dwelling older people (mean age: 80.7 ± 7.0 years). Participants were asked to step laterally as quickly as possible after a light stimulus appeared on a TV screen. Spatial and temporal measurements of the lower and upper body were derived from a low-cost and portable 3D-depth sensor (i.e. Microsoft Kinect) and 3D-accelerometer. Fallers had a slower stepping reaction time (970 ± 228 ms vs. 858 ± 123 ms, P = 0.001) and a slower reaction of their upper body (719 ± 289 ms vs. 631 ± 166 ms, P = 0.052) compared to non-fallers. It took fallers significantly longer than non-fallers to recover their balance after initiating the step (2147 ± 800 ms vs. 1841 ± 591 ms, P = 0.029). This study demonstrated that a sensor-based, low-cost and easy to administer stepping test, with the potential to be used in clinical practice or regular unsupervised home assessments, was able to identify significant differences between performances by fallers and non-fallers.
  • Keywords
    accelerometers; biomedical measurement; computer games; geriatrics; graphical user interfaces; human computer interaction; mechanoception; sensors; 3D-accelerometer; Microsoft Kinect; TV screen; balance recover; central processing; community-dwelling older people; fall risk assessment; light stimulus; lower body; motor execution; portable 3D-depth sensor; regular unsupervised home assessments; sensor-based exergame choice stepping reaction time test; sensory functions; spatial measurements; temporal measurements; upper body; Acceleration; Accelerometers; Aging; Atmospheric measurements; Risk management; Sensors; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6945228
  • Filename
    6945228