Key Laboratory of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang, Jiangxi, China.
Department of Biomedical Engineering, Nanchang Hangkong University, Nanchang, Jiangxi, China.
Biomed Eng Online. 2022 Sep 4;21(1):61. doi: 10.1186/s12938-022-01034-2.
The age-related changes of gait symmetry in healthy children concerning individual joint and muscle activation data have previously been widely studied. Extending beyond individual joints or muscles, identifying age-related changes in the coordination of multiple joints or muscles (i.e., muscle synergies and kinematic synergies) could capture more closely the underlying mechanisms responsible for gait symmetry development. To evaluate the effect of age on the symmetry of the coordination of multiple joints or muscles during childhood, we measured gait symmetry by kinematic and EMG data in 39 healthy children from 2 years old to 14 years old, divided into three equal age groups: preschool children (G1; 2.0-5.9 years), children (G2; 6.0-9.9 years), pubertal children (G3; 10.0-13.9 years). Participants walked barefoot at a self-selected walking speed during three-dimensional gait analysis (3DGA). Kinematic synergies and muscle synergies were extracted with principal component analysis (PCA) and non-negative matrix factorization (NNMF), respectively. The synergies extracted from the left and right sides were compared with each other to obtain a symmetry value. Statistical analysis was performed to examine intergroup differences. The results showed that the effect of age was significant on the symmetry values extracted by kinematic synergies, while older children exhibited higher kinematic synergy symmetry values compared to the younger group. However, no significant age-related changes in symmetry values of muscle synergy were observed. It is suggested that kinematic synergy of lower joints can be asymmetric at the onset of independent walking and showed improving symmetry with increasing age, whereas the age-related effect on the symmetry of muscle synergies was not demonstrated. These data provide an age-related framework and normative dataset to distinguish age-related differences from pathology in children with neuromotor disorders.
先前已有大量研究关注健康儿童步态对称性的年龄变化,涉及个体关节和肌肉激活数据。超越个体关节或肌肉,识别多个关节或肌肉(即肌肉协同作用和运动学协同作用)协调的年龄变化,可以更紧密地捕捉负责步态对称性发展的潜在机制。为了评估年龄对儿童期多个关节或肌肉协调对称性的影响,我们通过运动学和肌电图数据测量了 39 名健康儿童(2 至 14 岁)的步态对称性,他们被分为三个年龄相等的组:学龄前儿童(G1;2.0-5.9 岁)、儿童(G2;6.0-9.9 岁)、青春期儿童(G3;10.0-13.9 岁)。参与者在三维步态分析(3DGA)中赤脚以自选择的步行速度行走。通过主成分分析(PCA)和非负矩阵分解(NNMF)分别提取运动学协同作用和肌肉协同作用。将从左右两侧提取的协同作用进行比较,以获得对称性值。进行统计分析以检查组间差异。结果表明,年龄对运动学协同作用提取的对称性值有显著影响,而年龄较大的儿童与年龄较小的儿童相比,运动学协同作用对称性值更高。然而,肌肉协同作用的对称性值没有显示出与年龄相关的变化。这表明,在独立行走开始时,下肢关节的运动学协同作用可能不对称,并且随着年龄的增长,对称性会提高,而肌肉协同作用的对称性与年龄相关的影响则不明显。这些数据提供了一个与年龄相关的框架和规范数据集,可用于区分神经运动障碍儿童的年龄相关性差异和病理学差异。