EEG-EMG Coherence Analysis of Different Hand Motions in Healthy Subjects_Journal of Biomedical Engineering

Authors：

LIYunping , LILi ,  ZHENGXuyuan

School of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, China;

Corresponding author：

ZHENGXuyuan, Email: zhengxuyuan@tijmu.edu.cn

Keywords：

electroencephalogram; electromyography; corticomuscular coherence; β-band

DOI：

10.7507/1001-5515.201400181

Video：

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Abstract Full text Figures/Tables Video References Cited by

It is the functional connectivity between motor cortex and muscle that directly relates to the rehabilitation of the dysfunction in upper limbs and neuromuscular activity status, which can be detected by electroencephalogram-electromyography (EEG-EMG) coherence analysis. In this study, based on coherence analysis method, we process the acquisition signals which consist of 9 channel EEG signal from motor cortex and 4 channel EMG signal from forearm, by using 4 groups of hand motions in the healthy subjects, including flexor digitorum, extensor digitorum, wrist flexion, and wrist extension. The results showed that in the β-band, the coherence coefficients between C3 and flexor digitorum (FD) was greater than extensor digitorum (ED) in the right hand flexor digitorum movement; the coherence coefficients between C3 and ED was greater than FD in the right hand extensor digitorum movement; the coherence coefficients between C3 and flexor carpi ulnaris (FCU) was greater than extensor carpi radialis (ECR) in the right hand wrist flexion movement; the coherence coefficients between C3 and ECR was greater than FCU in the right hand wrist extension movement. This analysis provides experimental basis to explore the information decoding of hand motion based on corticomuscular coherence (CMC).

Citation： LIYunping, LILi, ZHENGXuyuan. EEG-EMG Coherence Analysis of Different Hand Motions in Healthy Subjects. Journal of Biomedical Engineering, 2014, 31(5): 962-966. doi: 10.7507/1001-5515.201400181 Copy

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13.	OUANEZAR S, ESKIIZMIRLILER S, MAIER M A. Asynchronous decoding of finger position and of EMG during precision grip using CM cell activity: application to robot control[J]. J Integr Neurosci,2011,10(4):489-511.
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1. 梁明,窦祖林,王清辉,等.虚拟现实技术在脑卒中患者偏瘫上肢功能康复中的应用[J].中国康复医学杂志,2013,28(2):114-118.
2. 黄壮光.脑卒中后遗症患者家庭康复训练的意义探讨[J].中国医药指南,2011,9(36):11-12.
3. 王朴,郭毅,张君梅,等.运动想象疗法对脑卒中后患者上肢运动功能康复效果的系统评价[J].中国循证医学杂志,2011,11(5):529-539.
4. 王惠芳.脑卒中患者康复训练存在的问题及对策[J].中国实用医药,2011,6(9):230-231.
5. 王焕灵.基于sEMG辨识技术的手部动作行为研究[D].哈尔滨:哈尔滨理工大学,2011.
6. MCCLELLAND V M, CVETKOVICB Z, MILLS K R. Rectification of the EMG is an unnecessary and inappropriate step in the calculation of corticomuscular coherence[J]. J Neurosci Methods,2012,205(1):190-201.
7. BRAZIER M A B. A history of the electrical activity of the brain: the first half-century[D].New York:Macmillan,1961.
8. MIMA T, TOMA K, KOSHY B, et al. Coherence between cortical and muscular activities after subcortical stroke[J]. Stroke, 2001,32:2597-2601.
9. WILLIAMS E R, BAKER S N. Circuits generating corticomuscular coherence investigated using a biophysically based computational model. I. Descending systems[J]. J Neurophysiol,2009,101(1):31-41.
10. WILLIAMS E R, SOTEROPOULOS D S, BAKER S N. Coherence between motor cortical activity and peripheral discontinuities during slow finger movements[J]. J Neurophysiol, 2009,102(2):1296-1309.
11. WITHAM C L, RIDDLE C N, BAKER M R, et al. Contributions of descending and ascending pathways to corticomuscular coherence in humans[J].J Physiol, 2011,589(Pt 15):3789-3800.
12. HASHIMOTO Y, USHIBA J, KIMURA A, et al. Correlation between EEG-EMG coherence during isometric contraction and its imaginary execution[J]. Acta Neurobiol Exp(Wars),2010, 70(1):76-85.
13. OUANEZAR S, ESKIIZMIRLILER S, MAIER M A. Asynchronous decoding of finger position and of EMG during precision grip using CM cell activity: application to robot control[J]. J Integr Neurosci,2011,10(4):489-511.
14. MICERA S, ROSSINI P M, RIGOSA J, et al. Decoding of grasping information from neural signals recorded using peripheral intrafascicular interfaces[J]. J Neuroeng Rehabil,2011,8(53):1-10.

Journal of Biomedical Engineering

EEG-EMG Coherence Analysis of Different Hand Motions in Healthy Subjects

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