Department of Sport Biomechanics, University of Bojnord, Iran.
Faculty of Science and Technology, Bournemouth University, Poole BH12 5BB, UK.
J Biomech. 2023 Jun;154:111634. doi: 10.1016/j.jbiomech.2023.111634. Epub 2023 May 13.
The purpose of this study was to categorize asymptomatic participants based on the clustering of spatial and temporal intervertebral kinematic variables during lumbar flexion. Lumbar segmental interactions (L2-S1) were evaluated in 127 asymptomatic participants during flexion using fluoroscopy. First, four variables were identified consisting of: 1. Range of motion (ROMC), 2. Peaking time of the first derivative for separate segmentation (PTFDs), 3. Peaking magnitude of the first derivative (PMFD), and 4. Peaking time of the first derivative for stepwise (grouped) segmentation (PTFDss). These variables were used to cluster and order the lumbar levels. The number of participants required to constitute a cluster was chosen as 7. Participants formed eight (ROMC), four (PTFDs), eight (PMFD), and four (PTFDss) clusters, which included 85%, 80%, 77%, and 60% of them, respectively, according to the above features. For all clustering variables, angle time series of some lumbar levels showed significant differences between clusters. However, in general, all clusters could be categorized based on the segmental mobility contexts into three main groups as incidental macro clusters: the upper (L2-L4 > L4-S1), middle (L2-L3 < L3-L5 > L5-S1) and lower (L2-L4 < L4-S1) domains. There are spatial and temporal segmental interactions and between-subject variability in asymptomatic participants. In addition, the differences in angle time series among the clusters have provided evidence of feedback control strategies, while the stepwise segmentation facilitates consideration of the lumbar spine as a system and provides supplementary information about segmental interactions. Clinically, these facts could be taken into account when considering any intervention, but especially fusion surgery.
本研究旨在根据腰椎前屈过程中椎间运动学变量的时空聚类,对无症状参与者进行分类。通过透视对 127 名无症状参与者在弯曲时的腰椎节段相互作用(L2-S1)进行评估。首先,确定了四个变量,分别为:1. 活动范围(ROMC),2. 单独分段的一阶导数峰值时间(PTFDs),3. 一阶导数峰值幅度(PMFD),4. 逐步(分组)分段的一阶导数峰值时间(PTFDss)。这些变量用于聚类和排列腰椎水平。选择将参与者组成一个聚类的数量为 7。根据上述特征,参与者形成了 8 个(ROMC)、4 个(PTFDs)、8 个(PMFD)和 4 个(PTFDss)聚类,分别包括 85%、80%、77%和 60%的参与者。对于所有聚类变量,一些腰椎水平的角度时间序列在聚类之间显示出显著差异。然而,总的来说,所有聚类都可以根据节段运动学的上下文分为三个主要组,即偶然的大组:上组(L2-L4>L4-S1)、中组(L2-L3