心率变异性的复杂性与分形维数分析

发挥非线性动力学的潜力，提出了心率变异性（ＨＲＶ）信号的复杂度分析法和分形维数分析法。由于这两种方法能从较短的ＨＲＶ信号中提取信息，因此作者又进一步把这两种分析方法发展成动态分析法。用这两种方法分别对一个改变体位的ＨＲＶ信号和一个发生心肌缺血的ＨＲＶ信号的过程进行了动态分析。分析结果表明，它们都成功地检测出了ＨＲＶ信号的生理和病理变化。可见，动态复杂度分析法和动态分形维数分析法对ＨＲＶ信号及类似于ＨＲＶ的信号是很有前途的分析方法。

Analysis of complexity and fractal dimension of heart rate variability

The analysis of heart rate variability (HRV) is a hot point in ECG (electrocardiogram) analysis nowadays. The main analysing methods of HRV are spectral analysis and some nonlinear methods. And the latter are mainly static. Making full use of the nonlinear dynamics,the complexity and fractal dimension analysing methods of HRV are presented in this paper. Because these two methods can extract information from short HRV signals, they are extended to dynamical analysing methods accordingly. Two HRV signals are analysed with these two methods respectively. One signal is collected from a subject passing from clinostatic to orthostatic position,the other signal is collected from a subject which is during a silent ischemic episode. The results show that these two methods can detect the physiological and pathological transient episodes of HRV. Therefore,these two mothods can be used to analyze HRV signals and those signals similar to HRV.