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使用表面肌电图分解法对中风幸存者运动单位控制特性的研究:初步报告。

Examination of motor unit control properties in stroke survivors using surface EMG decomposition: a preliminary report.

作者信息

Suresh Nina, Li Xiaoyan, Zhou Ping, Rymer William Zev

机构信息

Sensory Motor Performance Program, RIC, 345 East Superior Street, Chicago, IL 60611, USA.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:8243-6. doi: 10.1109/IEMBS.2011.6092032.

Abstract

The objective of this pilot study was to examine alterations in motor unit (MU) control properties, (i.e. MU recruitment and firing rate) after stroke utilizing a recently developed high-yield surface electromyogram (EMG) decomposition technique. Two stroke subjects participated in this study. A sensor array was used to record surface EMG signals from the first dorsal interosseous (FDI) muscle during voluntary isometric contraction at varying force levels. The recording was performed in both paretic and contralateral muscles using a matched force protocol. Single motor unit activity was extracted using the surface EMG decomposition software from Delsys Inc. The results from the two stroke subjects indicate a reduction in the mean motor unit firing rate and a compression of motor unit recruitment range in paretic muscle as compared with the contralateral muscles. These findings provide further evidence of spinal motoneuron involvement after a hemispheric brain lesion, and help us to understand the complex origins of stroke induced muscle weakness.

摘要

这项初步研究的目的是利用最近开发的高产量表面肌电图(EMG)分解技术,研究中风后运动单位(MU)控制特性(即MU募集和放电频率)的变化。两名中风患者参与了本研究。在不同力水平的自主等长收缩过程中,使用传感器阵列记录第一背侧骨间肌(FDI)的表面肌电信号。使用匹配的力方案在患侧和对侧肌肉中进行记录。使用Delsys公司的表面肌电分解软件提取单个运动单位活动。两名中风患者的结果表明,与对侧肌肉相比,患侧肌肉的平均运动单位放电频率降低,运动单位募集范围压缩。这些发现为半球脑损伤后脊髓运动神经元受累提供了进一步证据,并有助于我们理解中风引起的肌肉无力的复杂起源。

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