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确定用于描述水平面多向伸展过程中肌肉激活模式的代表性协同矩阵。

Identifying representative synergy matrices for describing muscular activation patterns during multidirectional reaching in the horizontal plane.

机构信息

Center for Sensory-Motor Interaction, Department of Health Science and Technology, Aalborg University, Fredrik Bajers Vej 7 D-3, DK-9220 Aalborg, Denmark.

出版信息

J Neurophysiol. 2010 Mar;103(3):1532-42. doi: 10.1152/jn.00559.2009. Epub 2010 Jan 13.


DOI:10.1152/jn.00559.2009
PMID:20071634
Abstract

Muscle synergies have been proposed as a simplifying principle of generation of movements based on a low-dimensional control by the CNS. This principle may be useful for movement restoration by, e.g., functional electrical stimulation (FES), if a limited set of synergies can describe several functional tasks. This study investigates the possibility of describing a multijoint reaching task of the upper limb by a linear combination of one set of muscle synergies common to multiple directions. Surface electromyographic (EMG) signals were recorded from 12 muscles of the dominant upper limb of eight healthy men during single-joint movements and a multijoint reaching task in 12 directions in the horizontal plane. The movement kinematics was recorded by a motion analysis system. Muscle synergies were extracted with nonnegative matrix factorization of the EMG envelopes. Synergies were computed either from the single-joint movements to describe the two degrees of freedom independently or from the multijoint movements. On average, the multijoint reaching task could be accurately described in all the directions (coefficient of determination >0.85) by a linear combination of either four synergies extracted from the individual degrees of freedom or three synergies extracted from multijoint movements in at least three reaching directions. These results indicate that a large set of multijoint movements can be generated by a synergy matrix of limited dimensionality and common to all directions if the synergies are extracted from a representative number of directions. The linear combination of synergies may thus be used in strategies for restoring functions, such as FES.

摘要

肌肉协同作用被提出作为一种简化的运动生成原理,基于 CNS 的低维控制。如果一组有限的协同作用可以描述几个功能任务,那么这个原理可能对运动恢复很有用,例如,通过功能性电刺激(FES)。本研究调查了通过一组共同的肌肉协同作用来描述多关节上肢伸展任务的可能性,这些协同作用适用于多个方向。在 12 个方向的水平平面上进行单关节运动和多关节伸展任务期间,记录了 8 名健康男性的优势上肢的 12 块肌肉的表面肌电图(EMG)信号。运动学通过运动分析系统记录。通过 EMG 包络的非负矩阵分解提取肌肉协同作用。协同作用是从单关节运动中计算出来的,以独立描述两个自由度,或者从多关节运动中计算出来的。平均而言,多关节伸展任务可以通过从个体自由度中提取的四个协同作用或从至少三个伸展方向的多关节运动中提取的三个协同作用的线性组合在所有方向上准确描述(决定系数>0.85)。这些结果表明,如果从代表数量的方向中提取协同作用,那么一个大的多关节运动集可以通过一个有限维的、适用于所有方向的协同作用矩阵生成。协同作用的线性组合可以用于恢复功能的策略,例如 FES。

相似文献

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Identifying representative synergy matrices for describing muscular activation patterns during multidirectional reaching in the horizontal plane.

J Neurophysiol. 2010-1-13

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