Complex Neuromuscular Changes Post-Stroke Revealed by Clustering Index Analysis of Surface Electromyogram.

Complex Neuromuscular Changes Post-Stroke Revealed by Clustering Index Analysis of Surface Electromyogram.
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DOI:
10.1109/tnsre.2017.2707582
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发表时间:
2017-11
期刊:
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
影响因子:
--
通讯作者:
Zhou P
Zhou P
中科院分区:
其他
文献类型:
--
作者:
Zhang X;Wei Z;Ren X;Gao X;Chen X;Zhou P

文献摘要

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本研究的目的是通过一种新的表面肌电图(EMG)聚类指数(CI)分析来表征半球卒中引起的复杂神经肌肉变化。CI分析使用从17名中风受试者和12名年龄匹配的健康对照者的鱼际肌肉在进行不同水平的等长肌肉收缩期间双侧收集的表面EMG信号进行。与神经功能完好或对侧肌肉相比,麻痹肌肉中观察到混合CI模式。两个轻瘫肌肉表现出显着增加CI暗示显性神经源性变化,而三个轻瘫肌肉显着降低CI表明显性肌病的变化,其他轻瘫肌肉没有表现出显着的CI交替,可能是由于赤字下降的中央驱动或神经肌肉因素的综合作用。使用改良的CI方法进一步强调了对轻瘫肌肉的这种区分,该方法强调了每个个体受试者的侧间比较。CI结果表明,似乎有不同的中枢和外周进程在工作中不同程度的中风后。这项研究提供了一个方便和定量的分析,以评估中风后的神经肌肉变化的性质,而不使用任何特殊的设备,但传统的表面肌电图记录。这种评估有助于制定适当的康复策略,以恢复运动功能。
The objective of this study was to characterize complex neuromuscular changes induced by a hemisphere stroke through a novel clustering index (CI) analysis of surface electromyogram (EMG). The CI analysis was performed using surface EMG signals collected bilaterally from the thenar muscles of 17 subjects with stroke and 12 age-matched healthy controls during their performance of varying levels of isometric muscle contractions. Compared with the neurologically intact or contralateral muscles, mixed CI patterns were observed in the paretic muscles. Two paretic muscles showed significantly increased CI implying dominant neurogenic changes, whereas three paretic muscles had significantly reduced CI indicating dominant myopathic changes; the other paretic muscles did not demonstrate a significant CI alternation, likely due to a deficit of descending central drive or a combined effect of neuromuscular factors. Such discrimination of paretic muscles was further highlighted using a modified CI method that emphasizes between-side comparison for each individual subject. The CI findings suggest that there appears to be different central and peripheral processes at work in varying degrees after stroke. This study provides a convenient and quantitative analysis to assess the nature of neuromuscular changes after stroke, without using any special equipment but conventional surface EMG recording. Such assessment is helpful for development of appropriate rehabilitation strategies for recovery of motor function.