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
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;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
DOI :
10.1109/EMBC.2014.6945228