Article

The gait cycle is frequently divided into two distinct phases, stance and swing,
which can be accurately determined from ground reaction force data. In the
absence of such data, kinematic algorithms can be used to estimate footstrike and
toe-off. The performance of previously published algorithms is not consistent
between studies. Furthermore, previous algorithms have not been tested at higher
running speeds nor used to estimate ground contact times. Therefore the purpose
of this study was to both develop a new, custom-designed, event detection
algorithm and compare its performance with four previously tested algorithms at
higher running speeds. Kinematic and force data were collected on twenty runners
during overground running at 5.6m/s. The five algorithms were then implemented
and estimated times for footstrike, toe-off and contact time were compared to
ground reaction force data. There were large differences in the performance of
each algorithm. The custom-designed algorithm provided the most accurate
estimation of footstrike (True Error 1.2 +/- 17.1 ms) and contact time (True
Error 3.5 +/- 18.2 ms). Compared to the other tested algorithms, the
custom-designed algorithm provided an accurate estimation of footstrike and
toe-off across different footstrike patterns. The custom-designed algorithm
provides a simple but effective method to accurately estimate footstrike, toe-off
and contact time from kinematic data.
CI - Copyright (c) 2014 Elsevier B.V. All rights reserved.

Langue : ANGLAIS