Study of Interactive Variation Between Brain and Heart Signals While Listening to the Holy Quran by Fusion Technique

Q4 Medicine
Roya Sheibani, Ghasem SADEGHI BAJESTANI, A. Goshvarpour
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引用次数: 0

Abstract

Background: In recent years, much attention has been paid to the impact of spirituality on people’s health. Some signals can alter brain function and affects the autonomic nervous system to reduce blood pressure, heart rate, and anxiety levels. Objectives: This study aimed to investigate the effect of listening to the Holy Quran on the electrocardiogram (ECG) and electroencephalogram (EEG) signals of healthy people with the fusion technique. Materials & Methods: Cardiac signal recording and two brain signal channels in the C3 and C4 areas of 25 female students between 20 and 23 years old were performed in three stages: silence, listening to the Holy Quran, and silence again. We used standard complementary plots, then we matched the circles with different radii (0.1 to 1) on the complementary diagram and extracted the number of intersection points with the hypothetical lines of the complementary plot as a feature. We then examined all possible modes with the support vector machine classifier. A new data fusion technique was used to study the interactions between the heart and the brain. Results: The best accuracy of 98.75% was obtained for a distinction between pre and no-voice using the brain signal. Conclusion: The results of the present study show the effect of listening to the Holy Quran on physiological signals with the fusion technique.
用融合技术研究听古兰经时大脑和心脏信号的交互变化
背景:近年来,人们越来越关注精神对人体健康的影响。一些信号可以改变大脑功能,影响自主神经系统,从而降低血压、心率和焦虑水平。目的:应用融合技术探讨《古兰经》聆听对健康人心电图和脑电图信号的影响。材料与方法:对25名年龄在20 ~ 23岁的女大学生进行心脏信号记录和C3、C4两个脑信号通道,分为沉默、听古兰经、再沉默三个阶段。我们使用标准的互补图,然后在互补图上匹配不同半径(0.1到1)的圆,并以互补图的假设直线为特征提取交点的个数。然后我们用支持向量机分类器检查了所有可能的模式。一种新的数据融合技术被用于研究心脏和大脑之间的相互作用。结果:利用脑信号对有无语音进行区分,准确率达到98.75%。结论:本研究结果显示了用融合技术聆听古兰经对生理信号的影响。
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来源期刊
Caspian Journal of Neurological Sciences
Caspian Journal of Neurological Sciences Neuroscience-Neuroscience (miscellaneous)
CiteScore
0.60
自引率
0.00%
发文量
39
审稿时长
8 weeks
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