北京生物医学工程2011，Vol.30Issue(2)：146-149,4.DOI:10.3969/j.issn.1002-3208.2011.02.08.
基于心电图的心肌缺血非线性分析
Nonlinear Analysis of Myocardial Ischemia Based on Electrocardiograms
摘要
Abstract
Electrocardiogram (ECG) is a convenient, economic, and non-invasive detecting tool for myocardial ischemia (MI) , and its clinical appearance is mainly exhibited by ST - T complex changes. In view of the fact that the heart is a chaos system, the nonlinear parameters of fractal dimensions and largest Lyapunov exponents were used to analyze some derived feature sequences in ECG in this paper. These feature sequences included ECG RR interval, transient heart rate (HR) , average amplitude of ST-segment (ST ) , minimum amplitude of ST-segment (STmin), the rate of ST and HR (STr), T apex T end (TpTe), R-wave peak amplitude (Ramp) , and T-wave peak amplitude ( Tamp ). We statistically analyzed the ECG signals of patients with myocardial ischemia and healthy persons from long-term ST data base (LTST) with T test, and as a result,significant differences of all feature sequences were obtained except the feature of TpTe by fractal dimensions analysis, Ramp and Tamp by Lyapunov exponents analysis. Therefore the nonlinear analysis based on ECG provided a reliable basis for detection and diagnosis of myocardial ischemia.关键词
心电图/心肌缺血/ST-T段/分形维数/Lyapunov指数Key words
electrocardiogram (ECG)/ myocardial ischemia (MI)/ ST - T complex/ fractal dimension/ Lyapunov exponents分类
医药卫生引用本文复制引用
宋晋忠,严洪,许志,李延军..基于心电图的心肌缺血非线性分析[J].北京生物医学工程,2011,30(2):146-149,4.基金项目
中国航天医学工程预先研究项目(SJ200903)资助 （SJ200903）
