论文部分内容阅读
按照非线性理论,对健康人、冠心病人和成年犬进行了心电取样。在对人和犬的大量心电信号的功率谱分析、关联维数和Lyapunov指数计算的基础上,通过对比研究,得出以下结论:（i）心电信号的功率谱、关联维数和Lyapunov指数反映了心脏的总体动态特征,它们可作为一种定量研究心电图的新方法进行心血管疾病的早期诊断。（ii）在正常的生理状态下心脏的运动是混沌的,而在病理状态下则趋于有序。（iii）基于人犬对比,揭示出混沌是衡量生物体制进化的一个定量指标。
In accordance with the non-linear theory, healthy people, coronary heart disease and adult dogs were ECG sampling. Based on the power spectrum analysis, correlation dimension and Lyapunov exponents of a large number of ECGs of humans and dogs, the following conclusions are drawn: (i) Power spectrum of ECG, correlation dimension and Lyapunov The index reflects the overall dynamics of the heart and serves as an early diagnostic tool for cardiovascular disease as a new method of quantitatively studying electrocardiograms. (Ii) Heart movement is chaotic under normal physiological conditions and tends to be ordered under pathological conditions. (Iii) Based on human-to-dog comparison, it is revealed that chaos is a quantitative indicator of the evolution of the biological system.