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Sensors 2016, 16(8), 1277; doi:10.3390/s16081277

Inertial Sensor Based Analysis of Lie-to-Stand Transfers in Younger and Older Adults

Department of Clinical Gerontology, Robert-Bosch Hospital, Stuttgart 70376, Germany
Institute of Epidemiology and Medical Biometry, Ulm University, Ulm 89081, Germany
Department of Neuroscience, Norwegian University of Science and Technology, Trondheim NO-7491, Norway
Institute of Movement and Sport Gerontology, German Sport University Cologne, Cologne 50933, Germany
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 10 June 2016 / Revised: 30 July 2016 / Accepted: 9 August 2016 / Published: 12 August 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [903 KB, uploaded 12 August 2016]   |  


Many older adults lack the capacity to stand up again after a fall. Therefore, to analyse falls it is relevant to understand recovery patterns, including successful and failed attempts to get up from the floor in general. This study analysed different kinematic features of standing up from the floor. We used inertial sensors to describe the kinematics of lie-to-stand transfer patterns of younger and healthy older adults. Fourteen younger (20–50 years of age, 50% men) and 10 healthy older community dwellers (≥60 years; 50% men) conducted four lie-to-stand transfers from different initial lying postures. The analysed temporal, kinematic, and elliptic fitting complexity measures of transfer performance were significantly different between younger and older subjects (i.e., transfer duration, angular velocity (RMS), maximum vertical acceleration, maximum vertical velocity, smoothness, fluency, ellipse width, angle between ellipses). These results show the feasibility and potential of analysing kinematic features to describe the lie-to-stand transfer performance, to help design interventions and detection approaches to prevent long lies after falls. It is possible to describe age-related differences in lie-to-stand transfer performance using inertial sensors. The kinematic analysis remains to be tested on patterns after real-world falls. View Full-Text
Keywords: recovery; lie-to-standing transfer; inertial sensors; signal analysis; kinematic analysis; fall detection recovery; lie-to-standing transfer; inertial sensors; signal analysis; kinematic analysis; fall detection

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Schwickert, L.; Boos, R.; Klenk, J.; Bourke, A.; Becker, C.; Zijlstra, W. Inertial Sensor Based Analysis of Lie-to-Stand Transfers in Younger and Older Adults. Sensors 2016, 16, 1277.

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