两种熵测度分析HRV预测阵发性房颤的比较研究  

The Comparative Study of Use Two Entropy Measure Method to Analysis Heart Rate Variability in Prediction of Paroxysmal Atrial Fibrillation

作　　者：彭秋莲[1] 胡孝昌[1] 李满华[2] 颜程光[3] 李源[1] 李水芳[1] 

机构地区：[1]井冈山大学工学院,江西吉安343009 [2]井冈山大学信息与传媒学院,江西吉安343009 [3]井冈山大学附属医院心内科,江西吉安343000

出　　处：《科技通报》2011年第3期366-370,共5页Bulletin of Science and Technology

基　　金：江西省教育厅科技计划项目(GJJ10544)

摘　　要：目的比较两种非线性方法分析心率变异性(HRV)预测阵发性房颤(PAF)的优劣。方法:用近似熵和样本熵的方法分析已验证具有PAF的25例对象,分别分析他们PAF前期以及远离发病期的两段10 min心电数据的HRV,并且选择不同的熵测度计算参数对近似熵和样本熵的计算结果进行比较分析。结果:研究发现这25例对象在这两段时期内的近似熵和样本熵值都有明显的差异,发病前期的两种熵测度都明显小于远离发病期时的值,且近似熵受计算参数的选择影响更大。结论这个熵的减小趋势,蕴藏着一个重要的信息,可能能预测PAF的偶发事件,且建议用样本熵分析HRV预测PAF更符合临床要求。Objective：compared two non-linear analysis of heart rate variability（HRV） in prediction of the advantages and disadvantages of paroxysmal atrial fibrillation（PAF）.Method：Analysis preceding an episode of AF and period distant from any episode of AF 10 min ECG data of HRV of 25 case that has verified of PAF with approximate entropy and sample entropy.And compared calculation results of the approximate entropy and sample entropy when choosed the different parameters of entropy measure.Result：It was found that 25 cases in which the object during the approximate entropy and sample entropy have obvious differences.The two kinds of entropy value of the preceding an episode of AF is less than clear away from the period when distant from any episode of AF.And the choice of parameters by a greater impact to approximate entropy.Conclusions：The trend to reduce the entropy,contains an important information which might predict impending AF episodes.So we propose to use SampEn analyse the HRV in prediction of PAF is more in line with the clinical requirements.

关 键 词：近似熵 样本熵 复杂度 阵发性房颤预测 

分 类 号：R319[医药卫生—基础医学]