Studying the Effect of Bengali Folk Music on Human Autonomic Nervous System Through Multi-Fractal Detrended Fluctuation Analysis of HRV Signals

Pallav Dutta, Sudhangshu Sarkar, A. Chandra, A. Dey
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Abstract

Music therapy is a frequently used tool to treat cardiac and neurological diseases. It has been proven that music impacts human body as well as mind. The reason behind such impact of music on humans is because of the release of a chemical agent inside the brain known as dopamine also known as the happy hormone. Autonomic Nervous System (ANS) is reactive to the chemical stimuli which comprises of sympathetic and parasympathetic nerves. In this paper, we present the effect of Bengali folk music on ANS. The signals were taken while the subject is listening to music and also during normal resting condition. In time series analysis, multifractal detrended fluctuation analysis (MF-DFA) is used for determining the statistical self-affinity and highly chaotic behavior of a signal. Multifractal detrended fluctuation analysis is used as a quantifying parameter to detect the effect of Bengali folk music on ANS. Our experimental result shows a satisfactory result in this context.
利用HRV信号的多重分形去趋势波动分析研究孟加拉民族音乐对人体自主神经系统的影响
音乐疗法是治疗心脏和神经系统疾病的常用工具。事实证明,音乐对人的身心都有影响。音乐对人类产生这种影响的原因是因为大脑中释放出一种化学物质,即多巴胺,也被称为快乐激素。自主神经系统由交感神经和副交感神经组成,对化学刺激起反应。在本文中,我们提出了孟加拉民族音乐对ANS的影响,在受试者听音乐和正常休息状态下采集信号。在时间序列分析中,多重分形去趋势波动分析(MF-DFA)用于确定信号的统计自亲和性和高度混沌行为。采用多重分形去趋势波动分析作为量化参数来检测孟加拉民族音乐对神经网络的影响,实验结果令人满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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