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表面肌电图(EMG)在脑卒中幸存者第一背侧骨间肌匹配收缩水平的功率谱分析。

Power spectral analysis of surface electromyography (EMG) at matched contraction levels of the first dorsal interosseous muscle in stroke survivors.

机构信息

Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL, USA.

Department of Biomedical Engineering, Northwestern University, Chicago, IL, USA.

出版信息

Clin Neurophysiol. 2014 May;125(5):988-94. doi: 10.1016/j.clinph.2013.09.044. Epub 2013 Nov 21.

Abstract

OBJECTIVE

The objective of this study was to help assess complex neural and muscular changes induced by stroke using power spectral analysis of surface electromyogram (EMG) signals.

METHODS

Fourteen stroke subjects participated in the study. They were instructed to perform isometric voluntary contractions by abducting the index finger. Surface EMG signals were collected from the paretic and contralateral first dorsal interosseous (FDI) muscles with forces ranging from 30% to 70% maximum voluntary contraction (MVC) of the paretic muscle. Power spectral analysis was performed to characterize features of the surface EMG in paretic and contralateral muscles at matched forces. A Linear Mixed Model was applied to identify the spectral changes in the hemiparetic muscle and to examine the relation between spectral parameters and contraction levels. Regression analysis was performed to examine the correlations between spectral characteristics and clinical features.

RESULTS

Differences in power spectrum distribution patterns were observed in paretic muscles when compared with their contralateral pairs. Nine subjects showed increased mean power frequency (MPF) in the contralateral side (>15 Hz). No evident spectrum difference was observed in 3 subjects. Only 2 subjects had higher MPF in the paretic muscle than the contralateral muscle. Pooling all subjects' data, there was a significant reduction of MPF in the paretic muscle compared with the contralateral muscle (paretic: 168.7 ± 7.6 Hz, contralateral: 186.1 ± 8.7 Hz, mean ± standard error, F=36.56, p<0.001). Examination of force factor on the surface EMG power spectrum did not confirm a significant correlation between the MPF and contraction force in either hand (F=0.7, p>0.5). There was no correlation between spectrum difference and Fugl-Meyer or Chedoke scores, or ratio of paretic and contralateral MVC (p>0.2).

CONCLUSIONS

There appears to be complex muscular and neural processes at work post stroke that may impact the surface EMG power spectrum. The majority of the tested stroke subjects had lower MPF in the paretic muscle than in the contralateral muscle at matched isometric contraction force. The reduced MPF of paretic muscles can be attributed to different factors such as increased motor unit synchronization, impairments in motor unit control properties, loss of large motor units, and atrophy of muscle fibers.

SIGNIFICANCE

Surface EMG power spectral analysis can serve as a useful tool to indicate complex neural and muscular changes after stroke.

摘要

目的

本研究旨在通过表面肌电图(EMG)信号的功率谱分析来帮助评估中风引起的复杂神经和肌肉变化。

方法

14 名中风患者参与了这项研究。他们被要求通过外展食指来进行等长自主收缩。用表面 EMG 信号从麻痹的和对侧的第一背间骨间(FDI)肌肉中采集,力量范围从麻痹肌肉的最大自主收缩(MVC)的 30%到 70%。进行功率谱分析以表征匹配力下麻痹和对侧肌肉中表面 EMG 的特征。应用线性混合模型来识别偏瘫肌肉的频谱变化,并检查频谱参数与收缩水平之间的关系。进行回归分析以检查频谱特征与临床特征之间的相关性。

结果

与对侧肌肉相比,麻痹肌肉的功率谱分布模式存在差异。9 名患者在对侧出现平均功率频率(MPF)升高(>15 Hz)。3 名患者没有明显的频谱差异。只有 2 名患者的麻痹肌肉的 MPF 高于对侧肌肉。汇总所有患者的数据,麻痹肌肉的 MPF 与对侧肌肉相比显著降低(麻痹:168.7±7.6 Hz,对侧:186.1±8.7 Hz,均值±标准误差,F=36.56,p<0.001)。对面部 EMG 功率谱的力因子进行检查并未证实 MPF 与双手收缩力之间存在显著相关性(F=0.7,p>0.5)。频谱差异与 Fugl-Meyer 或 Chedoke 评分或麻痹与对侧 MVC 比值之间没有相关性(p>0.2)。

结论

中风后似乎存在复杂的肌肉和神经过程,可能会影响表面 EMG 功率谱。大多数测试的中风患者在匹配等长收缩力时,麻痹肌肉的 MPF 低于对侧肌肉。麻痹肌肉的 MPF 降低可能归因于不同的因素,例如运动单位同步增加、运动单位控制特性受损、大运动单位丧失和肌纤维萎缩。

意义

表面肌电图功率谱分析可作为一种有用的工具,用于指示中风后的复杂神经和肌肉变化。

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