基于信息的分析：嗅觉刺激下大脑与心脏反应的耦合关系。
Information-based analysis of the coupling between brain and heart reactions to olfactory stimulation.
机构信息
Shiraz University of Medical Sciences, Shiraz, Iran.
School of Engineering, Monash University, Selangor, Malaysia.
出版信息
Technol Health Care. 2022;30(3):661-671. doi: 10.3233/THC-213136.
BACKGROUND
Analysis of the heart activity is one of the important areas of research in biomedical science and engineering. For this purpose, scientists analyze the activity of the heart in various conditions. Since the brain controls the heart's activity, a relationship should exist among their activities.
OBJECTIVE
In this research, for the first time the coupling between heart and brain activities was analyzed by information-based analysis.
METHODS
Considering Shannon entropy as the indicator of the information of a system, we recorded electroencephalogram (EEG) and electrocardiogram (ECG) signals of 13 participants (7 M, 6 F, 18-22 years old) in different external stimulations (using pineapple, banana, vanilla, and lemon flavors as olfactory stimuli) and evaluated how the information of EEG signals and R-R time series (as heart rate variability (HRV)) are linked.
RESULTS
The results indicate that the changes in the information of the R-R time series and EEG signals are strongly correlated (ρ=-0.9566).
CONCLUSION
We conclude that heart and brain activities are related.
背景
心脏活动分析是生物医学科学与工程的重要研究领域之一。为此，科学家分析了各种条件下心脏的活动。由于大脑控制着心脏的活动，因此它们的活动之间应该存在关系。
目的
本研究首次通过基于信息的分析来分析心脏和大脑活动之间的耦合。
方法
考虑到香农熵作为系统信息的指标，我们记录了 13 名参与者（7 名男性，6 名女性，18-22 岁）在不同外部刺激（使用菠萝、香蕉、香草和柠檬口味作为嗅觉刺激）下的脑电图（EEG）和心电图（ECG）信号，并评估了 EEG 信号和 R-R 时间序列（即心率变异性（HRV））的信息如何关联。
结果
结果表明，R-R 时间序列和 EEG 信号信息的变化具有很强的相关性（ρ=-0.9566）。
结论
我们得出结论，心脏和大脑活动是相关的。
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