In this work, we investigated the coupling among the activities of the brain and heart versus the changes in auditory stimuli using information-based analysis. Three music were selected based on the difference in their complexity. We applied these auditory stimuli on 11 subjects, and accordingly, computed and compared the Shannon entropy of electroencephalography (EEG) signals and heart rate variability (R–R time series). The results demonstrated a correlation among the alterations of the information contents of EEG signals and R–R time series. This finding shows the coupling between the activities of the brain and heart. This analysis could be expanded to analyze the activities of other organs versus the brain’s reaction in various conditions.

中文翻译：

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基于信息的分析心脑活动对听觉刺激的反应变化之间的耦合

在这项工作中，我们使用基于信息的分析研究了大脑和心脏活动与听觉刺激变化之间的耦合。根据复杂程度的不同选择了三首音乐。我们将这些听觉刺激应用于 11 名受试者，因此，计算并比较了脑电图 (EEG) 信号的香农熵和心率变异性（R-R 时间序列）。结果表明EEG信号信息内容的变化与R-R时间序列之间存在相关性。这一发现显示了大脑和心脏活动之间的耦合。这种分析可以扩展到分析其他器官的活动与大脑在各种条件下的反应。