Journal article
Fall-related gait characteristics on the treadmill and in daily life
SM Rispens, JH Van Dieën, KS Van Schooten, LE Cofré Lizama, A Daffertshofer, PJ Beek, M Pijnappels
Journal of Neuroengineering and Rehabilitation | BMC | Published : 2016
Open access
Abstract
Background: Body-worn sensors allow assessment of gait characteristics that are predictive of fall risk, both when measured during treadmill walking and in daily life. The present study aimed to assess differences as well as associations between fall-related gait characteristics measured on a treadmill and in daily life. Methods: In a cross-sectional study, trunk accelerations of 18 older adults (72.3 ± 4.5 years) were recorded during walking on a treadmill (Dynaport Hybrid sensor) and during daily life (Dynaport MoveMonitor). A comprehensive set of 32 fall-risk-related gait characteristics was estimated and compared between both settings. Results: For 25 gait characteristics, a systematic d..
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Awarded by Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Funding Acknowledgements
A summary of this work was presented at Dynamic Walking 2014 in Zurich, Switzerland. This work was supported by the Netherlands Organisation for Scientific Research (NWO TOP NIG grant 91209021 and NWO grant 400-08-127) and by the European Commission through MOVE-AGE, an Erasmus Mundus Joint Doctorate program (2011-0015).