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正常发育儿童和脑瘫儿童肌肉协同作用在日内和日间的重复性。

Repeatability of muscle synergies within and between days for typically developing children and children with cerebral palsy.

作者信息

Shuman Benjamin, Goudriaan Marije, Bar-On Lynn, Schwartz Michael H, Desloovere Kaat, Steele Katherine M

机构信息

University of Washington, Department of Mechanical Engineering, Seattle, WA 98195, USA.

KU Leuven, Department of Rehabilitation Science, University of Leuven, Leuven, Belgium.

出版信息

Gait Posture. 2016 Mar;45:127-32. doi: 10.1016/j.gaitpost.2016.01.011. Epub 2016 Jan 28.

Abstract

Muscle synergies are typically calculated from electromyographic (EMG) signals using nonnegative matrix factorization. Synergies identify weighted groups of muscles that are commonly activated together during a task, such as walking. Synergy analysis has become an emerging tool to evaluate neuromuscular control; however, the repeatability of synergies between trials and days has not been evaluated. The goal of this study was to evaluate the repeatability of synergy complexity and structure in unimpaired individuals and individuals with cerebral palsy (CP). EMG data were collected from eight lower-limb muscles during gait for six typically developing (TD) children and five children with CP on two separate days, over three walking speeds. To evaluate synergy complexity, we calculated the total variance accounted for by one synergy (tVAF1). On a given day, the average range in tVAF1 between gait cycles was 18.2% for TD and 19.1% for CP. The average standard deviation in tVAF1 between gait cycles was 4.9% for TD and 5.0% for CP. Average tVAF1 calculated across gait cycles was not significantly different between days for TD or CP participants. Comparing synergy structure, the average (standard deviation) within day correlation coefficients of synergy weights for two or more synergies were 0.89 (0.15) for TD and 0.88 (0.15) for CP. Between days, the average correlation coefficient of synergy weights for two or more synergies was greater than 0.89 for TD and 0.74 for CP. These results demonstrate that synergy complexity and structure averaged over multiple gait cycles are repeatable between days in both TD and CP groups.

摘要

肌肉协同作用通常使用非负矩阵分解从肌电图(EMG)信号中计算得出。协同作用可识别在诸如行走等任务期间共同被激活的加权肌肉群。协同作用分析已成为评估神经肌肉控制的一种新兴工具;然而,试验之间以及不同日期之间协同作用的可重复性尚未得到评估。本研究的目的是评估正常个体和脑瘫(CP)个体中协同作用复杂性和结构的可重复性。在三个不同步行速度下,于两天分别收集了六名典型发育(TD)儿童和五名CP儿童在步态期间八个下肢肌肉的EMG数据。为了评估协同作用复杂性,我们计算了由一种协同作用解释的总方差(tVAF1)。在给定的一天,TD组步态周期之间tVAF1的平均范围为18.2%,CP组为19.1%。TD组步态周期之间tVAF1的平均标准差为4.9%,CP组为5.0%。TD组或CP组参与者在不同日期计算的平均跨步态周期tVAF1无显著差异。比较协同作用结构,TD组两种或更多种协同作用的协同作用权重日内平均(标准差)相关系数为0.89(0.15),CP组为0.88(0.15)。不同日期之间,TD组两种或更多种协同作用的协同作用权重平均相关系数大于0.89,CP组为0.74。这些结果表明,在TD组和CP组中,多个步态周期的协同作用复杂性和结构在不同日期之间具有可重复性。

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