基于混沌特性的心音反控制方法研究

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摘要针对正常心音信号和病理心音信号所存在的混沌特性差异，提出了一种将病理心音对正常心音进行跟踪的心音混沌反控制方法。本文首先提出了心音混沌反控制方法的设计原则和标准，在此基础上设计了一种结合TD与Fuzzy-PID控制理论的心音信号混沌反控制方法，当输入病理心音时，控制方法能根据另一路读取的正常心音实时自整定PID参数，快速地使病理心音跟踪上正常心音。实验结果与定量分析表明，该控制方法跟踪速度快、误差小、鲁棒性好，控制后的病理心音信号可以很好地对正常心音信号进行轨迹跟踪，且混沌特性得到明显增强。这种心音信号混沌反控制方法，可以用于开发心血管疾病的相关医疗辅助理疗设备，具有可行性和实用性。

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	成谢锋1
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	佘辰俊1
	李吉1

关键词 ：心音信号, 混沌, 混沌反控制, 非线性分析

Abstract：Aiming at chaotic characteristic difference between a normal heart sound signal and a pathological one,an anti-control method for heart sound chaos making the pathological heart sound track the normal one was put forward. Here,firstly,the design principle and standard for the heart sound chaos anti-control method were proposed. Then,a heart sound chaos anti-control method combining TD and Fuzzy-PID control theories was designed. When pathological heart sounds were input,the control method adjusted PID parameters according to the normal heart sound read from the other path to make the former rapidly trace the latter. The test results and quantitative analysis showed that the proposed control method has the advantages of fast tracking speed,small error and good robustness; the controlled pathological heart sound signal can trace the normal one well and its chaotic characteristics are obviously enhanced; this heart sound chaos anti-control method can be used to develop the related medical auxiliary physiotherapy equipment of cardiovascular disease with feasibility and practicability.

Key words： heart sound chaotic characteristic chaos anti-control nonlinear analysis

收稿日期: 2017-01-17 出版日期: 2018-08-28

引用本文:

成谢锋1，2，佘辰俊1，李吉1. 基于混沌特性的心音反控制方法研究[J]. 振动与冲击, 2018, 37(17): 178-184.
CHENG Xiefeng1,2,SHE Chenjun1,LI Ji1. Anti-control method of heart sound based on its chaotic characteristics. JOURNAL OF VIBRATION AND SHOCK, 2018, 37(17): 178-184.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2018/V37/I17/178

[1] 陈天华,韩力群,唐海滔,郑若金. 心音信号分析方法及应用性研究[J]. 北京工商大学学报(自然科学版),2009,(02):35-39.
    CHEN Tian-hua,HUAN Li-qun,TANG Hai-tao,ZHENG Ruo-jin. Analysis and application ofheart sound signal[J]. Journal of Beijing Technology and BusinessUniversity(NaturalScience),2009,(02):35-39.
[2] Glass L. Introduction to controversial topics in nonlinear science: is the normal heart rate chaotic[J].Chaos,2009,19(2):28501-1~25801-4.
[3] Ott E,Grebogic,Yorke J A. Controlling chaos [J] phys.Rev.Lett , 1990,64(1): 1196-1199.
[4] Garfinkel A,Spnao M L,Ditto W L, et al.Controlling cardiac chaos[J]. Science, 1992,257(5074):1230-1235.
[5] Kumar D, Carvalho P,Antunes M,et al. Discrimination of heart sounds using chaos analysis in various subbands[C].Proceeding od the international conference on bio-inspired systems and signal processing ,2009:369.
[6] 丁晓蓉，郭兴明，等. 基于混沌理论的心音非线性动力学分析[J]. 振动与冲击，2012，31(15):51-59.
    DING Xiao-rong,GUO Xing-ming,et al. Nonlinear dynamic analysis of heart sounds based on Chaos Theory[J]. Journal of vibration andshock, 2012,31(15):51-59.
[7] 成谢锋，严誌，马勇等. 运动与年龄对心音混沌特性影响规律的研究[J]. 振动与冲击, 2017, 36(1): 176-200.
    Cheng Xie, Feng Zhi, Ma Yong, et al. Studyon the influence of exercise and age on the chaotic characteristics of heart sound [J]. Journal of vibration and shock, 2017, 36 (1): 176-200.
[8] 黄林洲, 郭兴明, 丁晓蓉. EMD近似熵结合支持向量机的心音信号识别研究[J]. 振动与冲击，2012，31(19): 22-25.
    Huang Linzhou, Guo Xingming, Ding Xiaorong. Investigation of heart sound signal recognition by EMD approximate entropy combining support vector machines [J]. Journal of vibration and shock, 2012, 31 (19): 22-25.
[9] 卢德林，郭兴明. 基于奇异谱分析的心音信号小波包去噪算法研究[J].振动与冲击，2013，32(18):63-69.
    LU De-lin,GUO Xing-ming. Wavelet packet denoising algorithm for heart sound signal based on singular spectrum analysis[J].Journal of vibration and shock,2013,32(18):63-69.
[10] 孙丽莎.基于最大Laypunov指数的心音信号混沌特性分析[J]. 北京生物医学学报，2014，33(1):41-46.
    SUN Li-sha. Analysis of Chaotic Characteristics of Heart Sound Signal Based on Maximum Laypunov Exponent[J]. Beijing Biomedicine Engineering ,2014,33(1):41-46.
[11] 韩京清，王伟. 非线性跟踪-微分器[J]. 系统科学与数学，1994，14(2):177-183.
    HAN Jing-qing, WANG Wei. Nonlinear Tracking - Differentiator[J]. Journal of Systems Science and Mathematical Sciences, 1994,14(2):177-183.
[12] 韩京清，袁露林. 跟踪-微分器的离散形式[J]. 系统科学与数学，1997，19(3):268-273.
    HAN Jing-qing,YUAN Lu-lin. Discrete form of the tracking-differentiator[J]. Journal of Systems Science and Mathematical Sciences,1997,19(3):268-273.
[13] 韩京清. 非线性PID控制器[J]. 自动化学报，1994，14(2):487-490.
HUAN Jing-qing. Nonlinear PID controller[J]. Acta Automatica Sinica, 1994,14(2):487-490.
[14] 王永富，柴天佑. 自适应模糊控制理论的研究综述[J]. 控制工程，2006，13(3):193-198.
WANG Yong-fu,CAI Tian-you. Review of adaptive fuzzy control theory[J].Control Engineering of China,2006,13(3):193-198.
[15] 佟绍成，周军. 非线性模糊间接和直接自适应控制器的设计和稳定分析[J]. 控制与决策， 2005，15(3):293-296.
TONG Shao-cheng,ZHOU June.Design and Stability Analysis of Nonlinear Fuzzy Indirect and Direct Adaptive Controllers[J]. Control and Decision,2005,15(3):293-296.
[16] 武俊峰，刘亮亮，仲小虎. 带有跟踪微分器的无模型自适应控制器[J]. 电机与控制学报，2007，41(5):547-550.
WU Jun-feng,LIU Liang-liang,ZHONG Xiao-hu.Model - free adaptive controller with tracking differentiator[J].Electric Machines and Control,2007,41(5):547-550.
[17] Maysam Zamani Pedraml. Feedback Linearization and chaotic Anti-control of Flexible Joint Manipulator with Experimental Validation[J]. International conference on control, 2011,5(2):841-846.
[18] CHEN G,LAI D.Marking a dynamical systems chaotic Feedback control of Lyapunov exponents for discrete time dynamical system[J].IEEE Trans Circuits and Systems,1997,44(3):250-253.
[19] 关新平，范正平，张群立等. 连续时间稳定线性方法的混沌反控制研究[J]. 物理学报，2002，51(10):2216-2220.
GUAN Xin-ping, FAN Zheng-ping, ZHANG Li-qun, et al. Continuous-time stable linear method of chaos control research[J]. Acta Physica Sinica,2002,51(10):2216-2220.