短时非线性方法用于心率变异性分析

doi:10.3969/j.issn.0258-8021. 2015. 02.014

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摘要非线性分析为揭示心率变异性（HRV）的生理和病理变化提供了新的视角，不仅可反映更多关于心脏自主神经对于心率动力学调节的信息，而且与传统的时域和频域分析形成互补。特别是短时非线性分析契合了心率动力学的非线性和非平稳特征。文中就符号动力学、去趋势波动分析中的短时分形尺度指数α1，与复杂度相关的近似熵和样本熵，以及定量递归分析等方法，分别介绍了它们在短时RR间期序列分析中的应用。同时从短时非线性分析与长时序列结合，以及基于多分析域指标的判别分析这两方面，说明了短时非线性方法在HRV分析中的应用拓展。最后，就这些方法应用于临床需要解决的问题进行了阐述。

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	刘红夺儿朱逸湛萍王志刚彭屹^#*

关键词 ：心率变异性, 非线性分析, 短时序列, 心脏自主神经

Abstract：Nonlinear analysis brings about new insights into heart rate variability (HRV) changes under various physiological and pathological conditions, providing additional prognostic information and complementing traditional time and frequency domain analyses. Shortterm nonlinear analysis conforms to the nonlinearity and nonstationarity of heart rate dynamics. Several dominant methods, such as symbolic dynamics analysis, shortterm fractal scaling exponent (α1) analyzed by the detrended fluctuation analysis method, approximation entropy and sample entropy, recurrence quantification analysis, are introduced for their application to shortterm RR series. Furthermore, this article reviews some expansion of application, including shortterm nonlinear analysis coupled with longterm RR series, as well as risk stratification based on multidomain indexes including shortterm nonlinear ones. Several issues concerning the wide spread clinical use of HRV analysis were discussed.

Key words： heart rate variability (HRV) nonlinear analysis shortterm series cardiac autonomic nerve

基金资助:国家自然科学基金（81471746，81071225）；国家高技术研究发展计划（863计划）（2012AA02A602）

引用本文:

刘红夺儿朱逸湛萍王志刚彭屹^#*. 短时非线性方法用于心率变异性分析[J]. 中国生物医学工程学报, 2015, 34(2): 229-236.
Liu Hongduoer Zhu Yi Zhan Ping Wang Zhigang Peng Yi^#*. The Application of ShortTerm Nonlinear Methods to Heart Rate Variability Analysis. journal1, 2015, 34(2): 229-236.

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