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Muscle Synergies Control during Hand-Reaching Tasks in Multiple Directions Post-stroke

机译:脑卒中后多方向手向训练过程中的肌肉协同控制

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Purpose: A muscle synergies model was suggested to represent a simplifying motor control mechanism by the brainstem and spinal cord. The aim of the study was to investigate the feasibility of such control mechanisms in the rehabilitation of post-stroke individuals during the execution of hand-reaching movements in multiple directions, compared to non-stroke individuals. Methods: Twelve non-stroke and 13 post-stroke individuals participated in the study. Muscle synergies were extracted from EMG data that was recorded during hand reaching tasks, using the NMF algorithm. The optimal number of synergies was evaluated in both groups using the Variance Accounted For (VAF) and the Mean Squared Error (MSE). A cross validation procedure was carried out to define a representative set of synergies. The similarity index and the K-means algorithm were applied to validate the existence of such a set of synergies, but also to compare the modulation properties of synergies for different movement directions between groups. The similarity index and hierarchical cluster analysis were also applied to compare between group synergies. Results: Four synergies were chosen to optimally capture the variances in the EMG data, with mean VAF of 0.917 ± 0.034 and 0.883 ± 0.046 of the data variances, with respective MSE of 0.007 and 0.016, in the control and study groups, respectively. The representative set of synergies was set to be extracted from movement to the center of the reaching space. Two synergies had different muscle activation balance between groups. Seven and 17 clusters partitioned the muscle synergies of the control and study groups. The control group exhibited a gradual change in the activation in the amplitude in the time domain (modulation) of synergies, as reflected by the similarity index, whereas the study group exhibited consistently significant differences between all movement directions and the representative set of synergies. The study findings support the existence of a representative set of synergies, which are modulated to execute movements in different directions. Conclusions : Post-stroke individuals differently modulate the activation of synergies to different movement directions than do non-stroke individuals. The conclusion was supported by different muscle activation balances, similarity values and different classifications of synergies among groups.
机译:目的:提出了一种肌肉协同模型来简化脑干和脊髓的运动控制机制。这项研究的目的是研究与非中风个体相比,在多方向上进行手部伸张动作时,这种控制机制在中风后个体康复中的可行性。方法:12名非中风患者和13名中风后患者参加了研究。使用NMF算法从手部任务期间记录的EMG数据中提取肌肉协同作用。两组的最佳协同增效次数均采用了方差解释(VAF)和均方误差(MSE)进行了评估。进行了交叉验证程序,以定义一组有代表性的协同作用。应用相似性指标和K-means算法验证了这种协同作用的存在,并且比较了协同作用对组之间不同移动方向的调制特性。相似度指数和层次聚类分析也被用于比较各组之间的协同作用。结果:在对照组和研究组中,选择了四个协同效应以最佳地捕获EMG数据中的方差,平均VAF为数据方差的0.917±0.034和0.883±0.046,MSE分别为0.007和0.016。具有代表性的协同增效作用是从运动到到达空间的中心提取的。两组之间的两种协同作用具有不同的肌肉激活平衡。七个和17个群集划分了对照组和研究组的肌肉协同作用。对照组在协同作用的时域(调制)幅度上的激活呈现出逐渐变化,如相似性指数所反映的,而研究组在所有运动方向和代表性协同作用之间始终表现出显着差异。研究结果支持存在一组代表性的协同作用,这些协同作用被调制为在不同方向上执行运动。结论:与非中风个体相比,中风后个体对不同运动方向的协同激活的调节不同。该结论得到了不同的肌肉激活平衡,相似性值和不同组间协同作用的不同分类的支持。

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