基于小波分解和过零点分析的睡眠期间心率变异性研究  

Study on Heart Rate Variability During Sleep Basing on Wavelet Decomposition and Zero Crossing Analysis

作　　者：肖蒙[1] 严洪[1] 李延军[1] 

机构地区：[1]中国航天员科研训练中心,北京100094

出　　处：《航天医学与医学工程》2013年第4期303-307,共5页Space Medicine & Medical Engineering

基　　金：航天医学基础与应用国家重点实验室资助项目(SMFA12B09);中国载人航天预先研究项目(SJ201006)

摘　　要：目的提出一种简便的心率变异性(heart rate variability,HRV)分析方法,并将其用于研究睡眠期间的HRV特征。方法利用小波分解提取RR序列的低频(low frequency,LF)和高频(high frequency,HF)成分后,采用过零点分析法分别计算睡眠各阶段RR序列及其LF,HF分量的过零点特征(过零点间隔均值和归一化过零点间隔标准差),同时计算RR序列的频谱特征(LFn,HFn,LF/HF)和样本熵。分析各特征在不同睡眠阶段的差异性,以及过零点特征与其它特征的相关性。结果 RR过零点特征在觉醒、快速眼动(rapid eye movement,REM)和非快速眼动(non-REM,NREM)睡眠期间具有显著差异;三个过零点特征与频谱特征和样本熵具有较强相关性。结论本文提出的HRV分析方法计算简单,能同时反映频谱和复杂性特征,为研究睡眠期间自主神经活动和发展基于心电图的睡眠监测技术提供了新指标。Objective To propose a simple method for analyzing heart rate variability （HRV） and apply it in HRV feature study during sleep. Methods The low frequency （LF） and high frequency （HF） component of RR sequence were extracted through wavelet decomposition at first. Then the zero crossing features, which in- volved mean and normalized standard deviation of zero crossing intervals, of RR, LF and HF component were calculated. At the same time, the spectral features i.e. LFn, HFn, LF/HF and sample entropy were also de- termined. The significance levels of different features in different sleep stages were evaluated and the eorrela- tionship between zero crossing features and other measures were determined. Results The zero crossing fea- tures during wake, rapid eye movement（REM） and non-REM（NREM） sleep revealed significant difference. Three in 6 zero crossing features showed fairly strong correlation with spectral features and sample entropy. Conclusion The proposed method can be calculated easily and conveniently, and shows the capability of re- flecting spectral and complexity features of HRV at the same time. It provides new index for investigating the activity of automatic nervous system and developing sleep monitoring method based on electrocardiogram.

关 键 词：睡眠 心率变异性 小波分解 过零点分析 

分 类 号：R319[医药卫生—基础医学]