心电RR间期序列的近似熵与Lempel-Ziv复杂度分析

Analysis of Approximate Entropy and Lempel-Ziv Complexity of Cardiac RR Intervals Series

目的:探究度量心率变异性(HRV)指标的稳定性和有效性。方法:以207名心律失常患者在服用氟卡尼前后所得到的心电RR间期序列为实验数据,将长RR序列分割成多个短序列,计算出短序列的Lempel-ziv复杂度(LZC)和近似熵(ApEn),还计算了长RR序列相邻两个正常间期的差值均方根(RMSSD)、平均值、标准差以及心率变异系数等指标。结果:经比较发现LZC能明显地反映出氟卡尼对抑制患者HRV的效果,服药后的RMSSD降低(P<0.0001),每段LZC也减少(P<0.05)。结论:结果表明,用LZC和RMSSD等指标分析药物对HRV的作用是可行的。

Objective： To explore the stability and validity of the indexes to measure heart rate variability （HRV）. Method： The cardiac RR intervals series of 207 arrhythmia sufferers before and after taking Flecainide were used as the experimental data. We divided a long RR series into short multi-series, worked out the Lempel-Ziv complexity （LZC） and approximate entropy （ApEn）. We also worked out the indexes which are the square root of the mean squared differences of two successive normal RR intervals （RMSSD）, mean value, the standard deviation and the heart rate coefficient of variation, etc in long RR series. Result： We discovered that the LZC can clearly show the effect of Flecainide to restrain the HRV of sufferers by comparing LZC and ApEn. Lower RMSSD was observed after taking medicine （P〈0.0001）, as well as LZC in per segments decreased （P〈0.05）. Conclusion： The results show, it is feasible that LZC, RMSSD indexes and so on can be used to analyze the effect of the medicine to restrain HRV.