音乐调制心肺信号耦合关系的研究
Cardiopulmonary Coupling Analysis of Music Modulation
DOI: 10.12677/BIPHY.2018.62003, PDF,    国家自然科学基金支持
作者: 姚 沁, 陈 晨, 李 锦*, 胡 静, 凤飞龙：陕西师范大学，物理学与信息技术学院，陕西 西安；王 俊：南京邮电大学，图像处理与图像通信江苏省重点实验室，江苏 南京
关键词: 心肺耦合；心电图和呼吸信号；联合熵；经验模态分解；Cardiopulmonary Coupling； Electrocardiogram and Respiratory Signal； Joint Entropy； Empirical Mode Decomposition
摘要: 心肺耦合关系研究是国内外众多学者的研究热点，在多个疾病的临床检测和治疗中发挥重要作用。用联合熵单一的分析心电信号或者呼吸信号，研究结果的准确性和稳定性会受到序列非稳性的严重影响。本文在原有联合熵的研究基础上，通过对20位志愿者在基础状态和音乐状态下的心电图信号和呼吸信号进行耦合分析，得到心血管循环系统和呼吸系统之间的耦合作用状态，能呈现出音乐对人体心肺耦合关系的调制作用。此外，本文应用经验模态分解法将心电图信号进行分解后，再进一步运用联合熵与呼吸信号进行耦合计算，发现心肺耦合关系研究中的联合熵在不同的心电图分量下对应相同的趋势，并且实验结果表明，在经验模态分解下的联合熵能够得到显著的耦合作用和区分效果，能更敏锐、精准地捕捉信号中的动态信息的变化，从而有效的反映出音乐对人体心肺耦合关系的调制作用，可为以后进一步的耦合关系的研究和临床医学的应用提供一份更有价值的参考。
Abstract: Research on cardiopulmonary coupling relationship was a hot topic of many scholars, and played an important role in the clinical testing and treatment of many diseases. The accuracy and stability of the results will be seriously affected by the non-stability time series, when joint entropy method analyzes a single electrocardiogram signal or respiratory signal. In this paper, based on the research of original joint entropy, we obtain the coupling state between the cardiovascular system and respiratory system, through coupling analysis of electrocardiogram and respiratory signals, which are collected from 20 volunteers in basic condition and music condition, and find that music can modulate cardiopulmonary coupling relationship. Furthermore, this paper, decomposing the electrocardiogram signal by using the empirical mode decomposition method and then coupling calculating with respiratory signal by using joint entropy, shows that the results of joint entropy have similar distribution trend under different intrinsic mode functions of electrocardiogram signal in the analysis of cardiopulmonary coupling relationship. And the experimental results show that effect of coupling and distinguishing is more significant and it is more acute and sensitive to capture the change of dynamic information of the signal, when using joint entropy under the empirical mode decomposition. Therefore, it can reflect the music modulation on the cardiopulmonary coupling relationship effectively, and provide a valuable reference to further research on coupling relationship and the application in clinical medicine.
文章引用：姚沁, 陈晨, 李锦, 王俊, 胡静, 凤飞龙. 音乐调制心肺信号耦合关系的研究[J]. 生物物理学, 2018, 6(2): 31-41. https://doi.org/10.12677/BIPHY.2018.62003

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