摘要
目的：已有的研究表明，心脏的活动是混沌的。心电时间序列的非线性动力学数值指标可反映心脏的总体动态活动特征。本文试图探讨不同程度冠脉狭窄对心电及R－R间期序列Lyapunov指数的影响。方法 通过对不同程度冠脉狭窄的冠心病患者和正常人的心电和R－R间期时间序列的Lyapunov指数计算，以期从医学数据统计中发现有价值的规律性。结果 初步研究表明，正常人和冠脉重度狭窄患者心电序列的Lyapunov指数有显著统计差别，但正常人和冠脉轻度狭窄患者心电序列的Lyapunov指数无显著差别；正常人和冠脉轻、重度狭窄患者心电R－R间期时间序列的Lyapunov指数均有显著统计差别。结论 R－R间期序列比心电图能提供更多心脏电活动的信息。而正常人和冠脉轻度狭窄患者R－R间期时间序列的Lyapunov指数的显著差别，提示在心电信号的异常波形尚不足以被识别时，可能利用该指数对心脏的健康状况进行早期评估。
Purpose：It has been shown that the heart is a chaotic oscillator． So it is appropriate to use the Lyapunov exponent an important parameter to identify the nature of non－linear dynamical systems for identifying the state of human heart． Methods：Preliminary results are obtained in this paper using Wolf’s algorithm for 8 normal and 107 abnormal ECG recordings． Results：Significant differences are found between the Lyapunov exponents of normal ECG and ECG with obvious coronary stenosis OCS but there is no significant difference between the Lyapunov exponents of normal ECG and ECG with mild coronary stenosis MCS Significant differences are also found between the Lyapunov exponents of R－R interval series of normal ECG、ECG with MCS and ECG with OCS． Conclusions：It is apparent that the R－R interval series can give us more messages about human heart and the Lyapunov exponents of ECG and R－R interval series are the appropriate parameters for the identification of the physiological states of human heart． It is possible to use Lyapunov exponent for early diagnosis of Coronary Heart Disease．
出处
《中国医学物理学杂志》
CSCD
2000年第4期219-220,232,共3页
Chinese Journal of Medical Physics
关键词
心电图
冠心病
LYAPUNOV指数
R-R间期
混沌
: electrocardiogram ECG
coronary heart disease CHD
R-R interval
lyapunov exponent
chaos
