分频段Hilbert谱熵的心率变异信号分析方法  

The Analysis Method of the Hilbert Spectrum Entropy of Dividing Frequency Range for Signals of heart rate variability

作　　者：董红生[1,2] 张爱华[1] 邱天爽[3] 郝晓弘[1] 

机构地区：[1]兰州理工大学电信学院,兰州730050 [2]兰州工业高等专科学校电气工程系,兰州730050 [3]大连理工大学电信学院,大连116024

出　　处：《生物医学工程学杂志》2011年第2期248-254,共7页Journal of Biomedical Engineering

基　　金：国家自然科学基金资助项目(30670529)

摘　　要：心率变异(HRV)信号分析对心脏系统疾病的辅助诊断、监护及评估有十分重要的意义。本研究将Hilbert谱分析方法和非线性熵分析方法相结合,提出了基于分频段Hilbert谱熵的HRV信号分析的新方法。依据Hilbert谱的时频多分辨率特性和HRV信号频谱特征,在不同频段计算HRV信号的Hilbert谱熵和加权表示的全频段谱熵。对HRV信号的生理因素按频段适当分离后进行Hilbert谱熵的分析,更有利于表征某些生理病理的特征。对MIT-BIH数据库中实际HRV信号分析表明,这两种熵值能有效地区分年轻人、老年人及房颤患者三个样本组和健康人、充血性心力衰竭患者两个样本组,统计性能优于普通的时频熵方法,为临床HRV信号分析提供了一种有效方法。The signal analysis of heart rate variability（HRV） has been very significant for heart disease of aided diagnosis,monitoring and evaluation. We proposed a new method of HRV signal analysis based on the Hilbert spectrum entropy dividing frequency range.According to Hilbert spectrum characteristics of the multi-resolution and the characteristic of HRV signal frequency spectrum, the Hilbert time-frequency spectrum entropy of HRV signal in different frequency range and the full frequency Hilbert time-frequency spectrum entropy with weighting factor were calculated.This approach was analyzed after the appropriate separation for various physiological factors based on the frequency range and it is more conducive to reflect the physiological and the pathological characteristics.Applying the new approach to the actual HRV signal of the MIT-BIH standard database,we obtained the results which showed that this method could effectively differentiate from the sample group for the young,the elder and the patients with atrial fibrillation,and for the sample group for the healthy persons and CHF patients,the performance in statistical analysis was superior to those of the general time-frequency entropy method.The approach could provide an effective analysis method for clinical HRV signal.

关 键 词：心率变异性 希尔伯特-黄变换 Hilbert时频谱 时频熵 

分 类 号：R318.0[医药卫生—生物医学工程] R540.4[医药卫生—基础医学]