基于Gabor小波和格兰杰因果的脑-肌电同步性分析

doi:10.3969/j.issn.0258-8021. 2017. 01.004

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Abstract The corticomuscular coordinate mechanism of hand movements has important application values in prosthesis control, rehabilitation treatment and evaluation. This paper proposed Gabor wavelet transform-Granger causality (WT-GC) method to analyze corticomuscular coupling (CMC). Furthermore, the GC peak frequency and significant GC area were defined to quantitatively describe the corticomuscular function coupling and information flow direction at different frequencies. We collected the EEG and EMG datasets acquired simultaneously from 10 healthy subjects during maintaining static forces at 10% and 60% of their maximal voluntary contraction (MVC) isometrically. The proposed wavelet transform-Granger causality (WT-GC) method was used to analyze the synchronization between EEG and EMG data. Results showed a shift of GC peak frequency to higher frequency range for 60% MVC as compared with 10% MVC in both EEG→EMG and EMG→EEG directions. There was a decreased significant GC area appearing at beta band in EEG→EMG direction for 60% MVC. It was verified that the TF-GC method proposed could describe the corticomuscular coupling frequency and directional features. In addition, corticomuscular controls the force output of hand by adjusting neuronal oscillation amplitude, frequency and flow direction. In conclusion, this analysis provided a basis for exploring the motor control and feedback information encoding of hand.

Key words： WT-GC EEG-EMG synchronization corticomuscular coupling flow direction voluntary contraction

Received: 14 January 2016

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R318

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	Articles by authors
	Xie Ping
	Chen Yingya
	Zhang Yuanyuan
	Zou Ce
	Chen Xiaoling
	Zhang Litai

Cite this article:

Xie Ping,Chen Yingya,Zhang Yuanyuan, et al. EEG-EMG Synchronization Analysis Based on Gabor Wavelet Transform-Granger Causality[J]. Chinese Journal of Biomedical Engineering, 2017, 36(1): 28-38.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021. 2017. 01.004 OR http://cjbme.csbme.org/EN/Y2017/V36/I1/28

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