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基于替代数据思想的复杂度归一化方法及其在心电信号分析中的应用
引用本文:陈文伟,阮炯,顾凡及.基于替代数据思想的复杂度归一化方法及其在心电信号分析中的应用[J].生物物理学报,2006,22(2):144-148.
作者姓名:陈文伟  阮炯  顾凡及
作者单位:1. 复旦大学数学科学学院,上海,200032
2. 复旦大学生命科学学院,上海,200032
基金项目:国家自然科学基金项目(70271065)
摘    要:基于替代数据(Surrogate)思想的复杂度归一化方法,克服了一般复杂度对信号采样长度与采样频率的敏感性。文章对在生物医学信号复杂度分析中最有潜在应用价值的近似熵和C0复杂度进行了归一化。应用该方法可以有效地反映人体心脏某些病理状态之间的差别。同时,通过比较各种复杂度指标发现,C0复杂度和近似熵对采样长度的敏感性最弱,适用于短数据量的信号分析。

关 键 词:心电信号  替代数据  归一化复杂度  C0复杂度
收稿时间:2005-10-28
修稿时间:2005年10月28

Normalization of complexity measures based on Surrogate Approach and its application to ECG signal analysis
CHEN Wen-wei,RUAN Jiong,GU Fan-ji.Normalization of complexity measures based on Surrogate Approach and its application to ECG signal analysis[J].Acta Biophysica Sinica,2006,22(2):144-148.
Authors:CHEN Wen-wei  RUAN Jiong  GU Fan-ji
Institution:1. School of Mathematics, Fudan University, Shanghai 200032, China; 2. School of Life Sciences, Fudan University, Shanghai 200032, China
Abstract:Normalization of complexity measures based on surrogate approach overcomes the drawback of sensitivity of complexity measures to window length and sampling rate of signals.In this article,the authors normalized approximate entropy(ApEn) and C0 complexity that were most suitable for complexity analysis of biomedical signals.An application to ECG signals can reflect the difference between some heart diseases effectively.Meanwhile,through the comparison of kinds of complexity measures,it can be found that C0 complexity and approximate entropy(ApEn) have the weakest sensitivity to window length,so it can be used for signal analysis of short length data.
Keywords:ECG  Surrogate data  Normalization of complexity measures  C0 complexity
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