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首页> 外文期刊>Journal of Neurophysiology >Identifying representative synergy matrices for describing muscular activation patterns during multidirectional reaching in the horizontal plane.
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Identifying representative synergy matrices for describing muscular activation patterns during multidirectional reaching in the horizontal plane.

机译:识别用于描述水平面多方向到达过程中肌肉激活模式的代表性协同矩阵。

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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.
机译:已经提出了肌肉协同作用作为基于CNS的低维控制的运动产生的简化原理。如果一组有限的协同作用可以描述几个功能任务,则该原理对于通过例如功能性电刺激(FES)进行的运动恢复可能是有用的。这项研究调查了通过一组在多个方向上通用的肌肉协同作用的线性组合来描述上肢多关节伸直任务的可能性。在8个健康男人的单关节运动和水平方向上12个方向的多关节到达任务期间,从8个健康男人的优势上肢的12条肌肉中记录了表面肌电图(EMG)信号。运动运动学由运动分析系统记录。通过肌电图包络的非负矩阵分解来提取肌肉协同作用。从单关节运动来独立描述两个自由度,或者从多关节运动中计算出协同作用。平均而言,通过从各个自由度提取的四个协同作用或从至少三个到达方向的多关节运动提取的三个协同作用的线性组合,可以在所有方向上准确描述多关节到达任务(确定系数> 0.85) 。这些结果表明,如果从代表性方向上提取协同作用,则可以通过维数有限且对所有方向都相同的协同矩阵来生成大量的多关节运动集。因此,协同作用的线性组合可以用于恢复功能的策略中,例如FES。

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