Meurisse Guillaume M, Dierick Frédéric, Schepens Bénédicte, Bastien Guillaume J
Laboratoire de physiologie et biomécanique de la locomotion, Institute of NeuroScience, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Department of Physical Therapy, IESCA Sainte-Thérèse, Haute Ecole Louvain en Hainaut, Montignies-sur-Sambre, Belgium.
Gait Posture. 2016 Jan;43:245-50. doi: 10.1016/j.gaitpost.2015.10.005. Epub 2015 Oct 17.
In gait lab, the quantification of the ground reaction forces (GRFs) acting upon individual limbs is required for dynamic analysis. However, using a single force plate, only the resultant GRF acting on both limbs is available. The aims of this study are (a) to develop an algorithm allowing a reliable detection of the front foot contact (FC) and the back foot off (FO) time events when walking on a single plate, (b) to reconstruct the vertical GRFs acting upon each limb during the double contact phase (DC) and (c) to evaluate this reconstruction on healthy and clinical gait trials. For the purpose of the study, 811 force measurements during DC were analyzed based on walking trials from 27 healthy subjects and 88 patients. FC and FO are reliably detected using a novel method based on the distance covered by the centre of pressure. The algorithm for the force reconstruction is a revised version of the approach of Davis and Cavanagh [24]. In order to assess the robustness of the algorithm, we compare the resulting GRFs with the real forces measured with individual force plates. The median of the relative error on force reconstruction is 1.8% for the healthy gait and 2.5% for the clinical gait. The reconstructed and the real GRFs during DC are strongly correlated for both healthy and clinical gait data (R(2)=0.998 and 0.991, respectively).
在步态实验室中,动态分析需要对作用于单个肢体的地面反作用力(GRF)进行量化。然而,使用单个测力台时,只能获得作用于双下肢的合成GRF。本研究的目的是:(a)开发一种算法,以便在在单个测力台上行走时可靠地检测前脚着地(FC)和后脚离地(FO)的时间事件;(b)重建双支撑期(DC)期间作用于每个肢体的垂直GRF;以及(c)在健康和临床步态试验中评估这种重建。为了该研究的目的,基于27名健康受试者和88名患者的行走试验,分析了DC期间的811次力测量。使用基于压力中心移动距离的新方法可靠地检测到FC和FO。力重建算法是Davis和Cavanagh [24]方法的修订版。为了评估该算法的稳健性,我们将得到的GRF与用单个测力台测量的实际力进行比较。健康步态中力重建的相对误差中位数为1.8%,临床步态中为2.5%。DC期间重建的GRF与实际GRF在健康和临床步态数据中均高度相关(分别为R(2)=0.998和0.991)。