Stair-specific algorithms for identification of touch-down and foot-off when descending or ascending a non-instrumented staircase

Foster, RJ, De Asha, AR, Reeves, ND, Maganaris, CN and Buckley, JG, 2014. Stair-specific algorithms for identification of touch-down and foot-off when descending or ascending a non-instrumented staircase. Gait & Posture, 39 (2). ISSN 0966-6362

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Abstract

The present study introduces four event detection algorithms for defining touch-down and foot-off during stair descent and stair ascent using segmental kinematics. For stair descent, vertical velocity minima of the whole body centre-of-mass was used to define touch-down, and foot-off was defined as the instant of trail limb peak knee flexion. For stair ascent, vertical velocity local minima of the lead-limb toe was used to define touch-down, and foot-off was defined as the local maxima in vertical displacement between the toe and pelvis. The performance of these algorithms was determined as the agreement in timings of kinematically derived events to those defined kinetically (ground reaction forces). Data were recorded while 17 young and 15 older adults completed stair descent and ascent trials over a four-step instrumented staircase. Trials were repeated for three stair riser height conditions (85 mm, 170 mm, and 255 mm). Kinematically derived touch-down and foot-off events showed good agreement (small 95% limits of agreement) with kinetically derived events for both young and older adults, across all riser heights, and for both ascent and descent. In addition, agreement metrics were better than those returned using existing kinematically derived event detection algorithms developed for overground gait. These results indicate that touch-down and foot-off during stair ascent and descent of non-instrumented staircases can be determined with acceptable precision using segmental kinematic data.

Item Type:	Journal article
Publication Title:	Gait & Posture
Creators:	Foster, R.J., De Asha, A.R., Reeves, N.D., Maganaris, C.N. and Buckley, J.G.
Publisher:	Elsevier B.V.
Date:	2014
Volume:	39
Number:	2
ISSN:	0966-6362
Identifiers:	Number Type 10.1016/j.gaitpost.2013.11.005 DOI
Divisions:	Schools > School of Science and Technology
Record created by:	EPrints Services
Date Added:	09 Oct 2015 10:50
Last Modified:	23 Aug 2016 09:12
URI:	https://irep.ntu.ac.uk/id/eprint/18923

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