Suppr超能文献

使用高密度表面肌电图分解技术研究中风后运动单位放电行为的改变

Examination of Poststroke Alteration in Motor Unit Firing Behavior Using High-Density Surface EMG Decomposition.

作者信息

Li Xiaoyan, Holobar Ales, Gazzoni Marco, Merletti Roberto, Rymer William Zev, Zhou Ping

出版信息

IEEE Trans Biomed Eng. 2015 May;62(5):1242-52. doi: 10.1109/TBME.2014.2368514. Epub 2014 Nov 7.

Abstract

Recent advances in high-density surface electromyogram (EMG) decomposition have made it a feasible task to discriminate single motor unit activity from surface EMG interference patterns, thus providing a noninvasive approach for examination of motor unit control properties. In the current study, we applied high-density surface EMG recording and decomposition techniques to assess motor unit firing behavior alterations poststroke. Surface EMG signals were collected using a 64-channel 2-D electrode array from the paretic and contralateral first dorsal interosseous (FDI) muscles of nine hemiparetic stroke subjects at different isometric discrete contraction levels between 2 to 10 N with a 2 N increment step. Motor unit firing rates were extracted through decomposition of the high-density surface EMG signals and compared between paretic and contralateral muscles. Across the nine tested subjects, paretic FDI muscles showed decreased motor unit firing rates compared with contralateral muscles at different contraction levels. Regression analysis indicated a linear relation between the mean motor unit firing rate and the muscle contraction level for both paretic and contralateral muscles (p < 0.001), with the former demonstrating a lower increment rate (0.32 pulses per second (pps)/N) compared with the latter (0.67 pps/N). The coefficient of variation (averaged over the contraction levels) of the motor unit firing rates for the paretic muscles (0.21 ± 0.012) was significantly higher than for the contralateral muscles (0.17 ± 0.014) (p < 0.05). This study provides direct evidence of motor unit firing behavior alterations poststroke using surface EMG, which can be an important factor contributing to hemiparetic muscle weakness.

摘要

高密度表面肌电图(EMG)分解技术的最新进展,使得从表面EMG干扰模式中辨别单个运动单位活动成为一项可行的任务,从而为检查运动单位控制特性提供了一种非侵入性方法。在本研究中,我们应用高密度表面EMG记录和分解技术来评估中风后运动单位放电行为的改变。使用64通道二维电极阵列,从9名偏瘫中风患者的患侧和对侧第一背侧骨间肌(FDI)肌肉中,在2至10 N的不同等长离散收缩水平下(以2 N的增量步长)采集表面EMG信号。通过对高密度表面EMG信号进行分解来提取运动单位放电率,并在患侧和对侧肌肉之间进行比较。在9名受试对象中,患侧FDI肌肉在不同收缩水平下的运动单位放电率均低于对侧肌肉。回归分析表明,患侧和对侧肌肉的平均运动单位放电率与肌肉收缩水平之间均呈线性关系(p < 0.001),但前者的增量率(每秒0.32个脉冲(pps)/N)低于后者(0.67 pps/N)。患侧肌肉运动单位放电率的变异系数(在各收缩水平上平均)(0.21 ± 0.012)显著高于对侧肌肉(0.17 ± 0.014)(p < 0.05)。本研究提供了使用表面EMG观察中风后运动单位放电行为改变的直接证据,这可能是导致偏瘫肌肉无力的一个重要因素。

相似文献

3
Motor unit number reductions in paretic muscles of stroke survivors.中风幸存者患侧肌肉运动单位数量减少。
IEEE Trans Inf Technol Biomed. 2011 Jul;15(4):505-12. doi: 10.1109/TITB.2011.2140379. Epub 2011 Apr 7.

引用本文的文献

本文引用的文献

6
Motoneurone afterhyperpolarisation time-course following stroke.中风后运动神经元超极化后时间进程
Clin Neurophysiol. 2014 Mar;125(3):544-51. doi: 10.1016/j.clinph.2013.08.017. Epub 2013 Sep 26.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验