Analysis of Corticomuscular Coherence during Rehabilitation Exercises after Stroke_Journal of Biomedical Engineering

Authors：

MAPeipei ¹ , CHENYingya ¹ , DUYihao ¹ , SUYuping ² , WUXiaoguang ¹ , LIANGZhenhu ¹ ,  XIEPing ¹

1. Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China;
2. Department of Rehabilitation, Qinhuangdao People's Hospital, Qinhuangdao 066000, China;

Corresponding author：

XIEPing, Email: pingx@ysu.edu.cn

Keywords：

rehabilitation evaluation; electroencephalogram; electromyography; wavelet decomposition; corticomuscular coherence

DOI：

10.7507/1001-5515.20140183

Video：

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To better evaluate neuromuscular function of patients with stroke related motor dysfunction, we proposed an effective corticomuscular coherence analysis and coherent significant judgment method. Firstly, the related functional frequency bands in the electroencephalogram (EEG) were extracted via wavelet decomposition. Secondly, coherence were analysed between surface electromyography (sEMG) and sub-bands extracted from EEG. Further more, a coherent significant indicator was defined to quantitatively describe the similarity in certain frequency domain and phase lock activity between EEG and sEMG. Through the analysis of corticomuscular coherence during knee flexion-extension of stroke patients and healthy controls, we found that the stroke patients exhibited significantly lower gamma-band corticomuscular coherence in performing the task with their affected leg, and there was no statistically significant difference between their unaffected lag and the healthy controls, but with the rehabilitation training, the bilateral difference of corticomuscular coherence in patients decreased gradually.

Citation： MAPeipei, CHENYingya, DUYihao, SUYuping, WUXiaoguang, LIANGZhenhu, XIEPing. Analysis of Corticomuscular Coherence during Rehabilitation Exercises after Stroke. Journal of Biomedical Engineering, 2014, 31(5): 971-977. doi: 10.7507/1001-5515.20140183 Copy

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13.	ELLIOTT S J, STOTHERS I, NELSON P A. A multiple error LMS algorithm and its application to the active control of sound and vibration[J]. IEEE Trans Acoust Speech Signal Process, 1987, 35(10): 1423-1434.
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15.	龙飞,吴小培,范羚.基于独立分量分析的脑电噪声消除[J].生物医学工程学杂志,2003,20(3):479-483.

1. 王耀兵,季林红,黄靖远.偏瘫患者与健康人上肢表面肌电信号比较研究[J].生物医学工程学杂志,2004,21(4 Suppl):S129-S130.
2. CONWAY B A, HALLIDAY D M, SHAHANI U, et al. Common frequency components identified from correlations between magnetic recordings of cortical activity and the electromyogram in man[J]. J Physiol, 1995, 483: 35.
3. SHIBATA T, SUHARA Y, OGA T, et al. Application of multivariate autoregressive modeling for analyzing the interaction between EEG and EMG in humans[J]. Int Congr Ser, 2004, 1270: 249-253.
4. KRISTEVA R, POPA T, CHAKAROV V, et al. Cortico-muscular coupling in a patient with postural myoclonus[J]. Neurosci Lett, 2004, 366(3): 259-263.
5. MIMA T, TOMA K, KOSHY B, et al. Coherence between cortical and muscular activities after subcortical stroke[J]. Stroke, 2001, 32(11): 2597-2601.
6. FANG Y, DALY J J, SUN J Y, et al. Functional corticomuscular connection during reaching is weakened following stroke[J]. Clin Neurophysiol, 2009, 120(5): 994-1002.
7. BAKER S N. Oscillatory interactions between sensorimotor cortex and the periphery[J]. Curr Opin Neurobiol, 2007, 17(6): 649-655.
8. GWIN J T, FERRIS D P. Beta-and gamma-range human lower limb corticomuscular coherence[J]. Front Hum Neurosci, 2012, 6: 258.
9. RIDDLE C N, BAKER S N. Manipulation of peripheral neural feedback loops alters human corticomuscular coherence[J]. J Physiol, 2005, 566(Pt 2): 625-639.
10. PATINO L, OMLOR W, CHAKAROV V, et al. Absence of gamma-range corticomuscular coherence during dynamic force in a deafferented patient[J]. J Neurophysiol, 2008, 99(4): 1906-1916.
11. ANDRYKIEWICZ A, PATINO L, NARANJO J R, et al. Corticomuscular synchronization with small and large dynamic force output[J]. BMC Neurosci, 2007, 8(1): 101-113.
12. CARTER G C, KNAPP C, NUTTALL A. Estimation of the magnitude-squared coherence function via overlapped fast Fourier transform processing[J]. IEEE Trans Audio Electroacoust, 1973, 21(4): 337-344.
13. ELLIOTT S J, STOTHERS I, NELSON P A. A multiple error LMS algorithm and its application to the active control of sound and vibration[J]. IEEE Trans Acoust Speech Signal Process, 1987, 35(10): 1423-1434.
14. WIDROW B, GLOVER J R Jr, MCCOOL J M, et al. Adaptive noise cancelling: principles and applications[J]. Proc IEEE, 1975, 63(12): 1692-1716.
15. 龙飞,吴小培,范羚.基于独立分量分析的脑电噪声消除[J].生物医学工程学杂志,2003,20(3):479-483.

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