中文摘要：

手部运动功能神经肌肉调节机制的研究在假肢控制、康复治疗和评价等方面具有重要意义。基于Gabor小波和格兰杰因果（WT-GC）实现皮层肌肉耦合（CMC）分析,并定义GC峰值频率和显著性面积指标,定量描述不同频段的脑-肌电耦合及信息流向特征。同步采集10名健康被试在10%和60%最大自主收缩力（MVC）下的脑电（EEG）与肌电（EMG）信号,运用脑-肌电同步性分析方法进行手部不同力量下的脑-肌电同步耦合特征分析。结果显示：与10%MVC相比,在60%MVC握力输出下,EEG→EMG和EMG→EEG方向GC峰值频率均向高频段转移;EEG→EMG方向上beta频段的GC显著性面积降低,并具有统计性差异（P〈0.05）。研究结果验证,所提出方法能够有效刻画不同频段的皮层肌肉间能量耦合特征,可描述不同信息传递方向上的神经元同步振荡强度,也可揭示皮层肌肉运动系统通过调节神经元同步振荡强度、频段与流向来控制手部力量输出的神经机制,为探索手部运动控制与反馈信息解码提供了依据。

英文摘要：

The corticomuscular coordinate mechanism of hand movements has important application values in prosthesis control,rehabilitation treatment and evaluation. This paper proposed Gabor wavelet transformGranger 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 byadjusting 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.