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首页> 外文期刊>Journal of Neurophysiology >Gait synergetic neuromuscular control in children with cerebral palsy at different gross motor function classification system levels
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Gait synergetic neuromuscular control in children with cerebral palsy at different gross motor function classification system levels

机译:在不同总体运动功能分类系统水平下脑瘫儿童的步态协同性神经肌肉控制

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Cerebral palsy (CP) is a neural developmental disease featured with gait abnormalities. CP gait assessment is usually performed with the Gross Motor Function Classification System (GMFCS) in clinics, which does not involve a thorough assessment of neuromuscular control. To understand how the neuromuscular control disorders lead to gait abnormalities, we explored the relationship between GMFCS levels and the gait synergetic control characteristics in this study. In total, 18 children with CP at different GMFCS levels (mean age: 4.41 +/- 1.30 yr) and 8 age-matched typically developing (TD) children (mean age: 4.43 +/- 1.36 yr) were recruited to perform a straight walking task, and the surface electromyographic (sEMG) signals from eight lower limb muscles on each side and accelerometer data were collected. A nonnegative matrix factorization method was applied to obtain the muscle synergies from the sEMG signals. Next, synergy structures were projected onto the basic gait synergies to test the completeness of those structures. Subsequently, synergy activation parameters, including total activation duration and coactivation index, were compared across the participants. This study showed that children with CP at GMFCS levels I and II and the TD children had similar synergy structures, but the synergy activations of these children with CP were different from those of TD children. In addition, similar to previous research, we also found that children with CP at GMFCS level III could not access all four basic synergies on both sides. Based on the synergy analysis results, a gait assessment paradigm was proposed to facilitate the clinical CP gait evaluation.
机译:脑瘫(CP)是一种神经发育疾病,具有步态异常。 CP步态评估通常在诊所的总机函数分类系统(GMFC)进行,这不涉及彻底评估神经肌肉控制。要了解神经肌肉控制障碍如何导致步态异常,我们探讨了GMFCS水平与本研究步态协同控制特征之间的关系。共有18名不同GMFCS水平的CP儿童(平均年龄:4.41 +/- 1.30 YR)和8次常见的通常发展(TD)儿童(意思年龄:4.43 +/- 1.36 YR)进行直线步行任务和从八个下肢肌肉上的表面电拍摄信号(SEMG)信号收集在每一侧和加速度计数据中。应用非负矩阵分解方法以获得来自SEMG信号的肌肉协同效应。接下来,将协同合作结构投射到基本步态协同效应上以测试这些结构的完整性。随后,在参与者中比较了共同激活参数,包括总激活持续时间和共同率指数。本研究表明,在GMFCS级别I和II和TD儿童的CP儿童具有类似的协同结构,但这些具有CP的同性激活与TD儿童的协同活性不同。此外,类似于以前的研究,我们还发现,GMFCS III的CP的儿童无法访问双方的所有四个基本协同作用。基于协同作用分析结果,提出了一种步态评估范式,以促进临床CP步态评估。

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