Analysis of the coupling among the brain and various organs activities is an exciting and new research area of biomedical signal analysis. We decode the correlation among the brain and facial muscle activities during rest and visual stimulation. Fractal analysis is utilized to evaluate the alterations of complexity. In this study, we present different images with different complexities to participants and evaluate how complex structures of electromyography (EMG) signals and electroencephalography (EEG) signals are related. The findings indicate that the alteration of EMG signals' complexity was significant (P value = .0001). Besides, more significant alterations in the EMG and EEG signals' complexities in response to the stimuli with higher complexities were observed. We conclude that the brain and facial muscles activities are related. We can analyze other physiological signals using this method to investigate their relationship with the brain.

中文翻译：

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静态分形视觉刺激中的脑面肌肉连接分析

大脑与各种器官活动之间的耦合分析是生物医学信号分析的一个激动人心的新研究领域。我们解码休息和视觉刺激期间大脑和面部肌肉活动之间的相关性。分形分析被用来评估复杂性的变化。在这项研究中，我们向参与者展示了具有不同复杂性的不同图像，并评估了肌电图（EMG）信号和脑电图（EEG）信号的复杂结构之间的关系。研究结果表明，肌电信号的复杂性改变是显着的（P值= .0001）。此外，观察到EMG和EEG信号的复杂性响应具有更高复杂性的刺激而发生更显着的变化。我们得出结论，大脑和面部肌肉活动是相关的。我们可以使用这种方法分析其他生理信号，以研究它们与大脑的关系。