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European Review of Aging and Physical Activity : Official Journal of the European Group for Research Into Elderly and Physical Activity|February 12, 2016
The effect of sensor-based exercise at home on functional performance associated with fall risk in older people - a comparison of two exergame interventionsYves J Gschwind, Daniel Schoene, Stephen R Lord, et al.
Geriatrics & Gerontology International|February 9, 2017
Comparison between clinical gait and daily-life gait assessments of fall risk in older peopleMatthew A Brodie, Milou J Coppens, Andreas Ejupi, et al.
The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences|September 4, 2016
Intraindividual Stepping Reaction Time Variability Predicts Falls in Older Adults With Mild Cognitive ImpairmentDavid Bunce, Becky I Haynes, Stephen R Lord, et al.
European Review of Aging and Physical Activity : Official Journal of the European Group for Research Into Elderly and Physical Activity|June 14, 2016
Exploring user experience and technology acceptance for a fall prevention system: results from a randomized clinical trial and a living labDaryoush D Vaziri, Konstantin Aal, Corinna Ogonowski, et al.
BMC Geriatrics|August 22, 2014
ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trialYves J Gschwind, Sabine Eichberg, Hannah R Marston, et al.
European Review of Aging and Physical Activity : Official Journal of the European Group for Research Into Elderly and Physical Activity|February 12, 2016
The design of a purpose-built exergame for fall prediction and prevention for older peopleHannah R Marston, Ashley Woodbury, Yves J Gschwind, et al.
Medical & Biological Engineering & Computing|August 7, 2015
Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are differentMatthew A D Brodie, Milou J M Coppens, Stephen R Lord, et al.
European Review of Aging and Physical Activity : Official Journal of the European Group for Research Into Elderly and Physical Activity|February 12, 2016
ICT-based system to predict and prevent falls (iStoppFalls): results from an international multicenter randomized controlled trialYves J Gschwind, Sabine Eichberg, Andreas Ejupi, et al.
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