CONTACT US: Contact info
|
Citation |
Domone S, Lawrence D, Heller B, Hendra T, Mawson S, Wheat J. Ergonomics 2015; 59(8): 1089-1099. |
|
Affiliation |
f Centre for Sports Engineering Research, Faculty of Health and Wellbeing , Sheffield Hallam University , A129 Collegiate Hall, Collegiate Crescent, Sheffield , S10 2BP. |
|
Copyright |
(Copyright © 2015, Informa - Taylor and Francis Group) |
|
DOI |
|
PMID |
26666625 |
|
Abstract |
Slip induced falls are among the most common cause of major occupational injuries in the UK as well as being a major public health concern in the elderly population. This study aimed to determine the optimal fall indicators for fall detection models which could be used to reduce the detrimental consequences of falls. A total of 264 kinematic variables covering three dimensional full body model translation and rotational measures were analysed during normal walking, successful recovery from slips and falls on a cross-slope. Large effect sizes were found for three kinematic variables which were able to distinguish falls from normal walking and successful recovery. Further work should consider other types of daily living activities as results show that the optimal kinematic fall indicators can vary considerably between movement types. Practitioner's summary: Fall detection models are used to minimise the adverse consequences of slip induced falls, a major public health concern. Optimal fall indicators were derived from a comprehensive set of kinematic variables for slips on a cross-slope. Language: en |