基于非线性混沌的心律失常心音信号分析  

Analysis of the Heart Sound with Arrhythmia Based on Nonlinear Chaos Theory

作　　者：丁晓蓉[1] 郭兴明[1] 钟丽莎[1] 肖守中[1,2] 

机构地区：[1]重庆大学生物工程学院,重庆400044 [2]重庆博精医学信息研究所,重庆400044

出　　处：《生物医学工程学杂志》2012年第5期810-813,共4页Journal of Biomedical Engineering

基　　金：国家自然科学基金资助项目(30770551);中央高校基本科研业务费资助项目(CDJXS102300);重庆市新型医疗器械重大科技专项基金资助项目(CSTC;2008AC5103)

摘　　要：本文基于非线性混沌理论,对正常及心律失常心音信号的关联维数及最大Lyapunov指数进行了计算和混沌特性分析,从而提出一种新的心律失常分析方法。对30例健康人和30例心律失常患者的分析结果显示,正常心音和心律失常心音的关联维数和最大Lyapunov指数具有显著性差异。由于心律失常心音信号时序上的不规则性,导致其可预测性下降,与正常心音信号相比,具有较高的复杂度,从而具有比正常心音更大的关联维数和最大Lyapunov指数值。故关联维数和最大Lyapunov指数可用于分析心律失常心音信号及其特征提取。In this paper, a new method based on the nonlinear chaos theory was proposed to study the arrhythmia with the combination of the correlation dimension and largest Lyapunov exponent, through computing and analyzing these two parameters of 30 cases normal heart sound and 30 cases with arrhythmia. The results showed that the two parameters of the heart sounds with arrhythmia were higher than those with the normal, and there was significant difference between these two kinds of heart sounds. That is probably due to the irregularity of the arrhythmia which causes the decrease of predictability, and it＇s more complex than the normal heart sound. Therefore, the correlation dimension and the largest Lyapunov exponent can be used to analyze the arrhythmia and for its feature extraction.

关 键 词：混沌 心音 心律失常 关联维数 最大LYAPUNOV指数 

分 类 号：R318.04[医药卫生—生物医学工程]