建立在小波变换基础上的心率变异信号的仿真建模和分解

心率变异性（HeartRateVariability，简记为HRV）是无创检测心脏自主神经调节功能的一种手段，是近年来心电信号处理领域的一个前沿研究热点．考虑到HRV仿真建模的重要性和对HRV信号的1／f成分和非1／f成分分解开，分别处理的必要性，本文建立了基于小波逆变换的HRV信号仿真模型。用该模型仿真的HRV信号不仅包含谐波部分还反映了1／f部分，并且能准确地控制谐波部分的频率。仿真结果表明该模型能较好地仿真出时域、频域特征都接近实际HRV信号的HRV信号．针对1／f过程的特点，本文提出了基于小波变换的方法将HRV信号的1／f成分和非1／f成分在时域上分解开的算法．分解结果表明服这种算法的可行性。

The Modelling and Decomposion of Heart Rate Variability Signals Based on Wavelet Transform

Heart Rate Variability (HRV)is a non-invasive methods in detecting the function of the hearts . The analysis of which is a hot point in ECG analysis in recent years . On account of the importance of the modelling of HRV nd the decompositon of HRV signals into 1/f component and non-1/f component , a simulation model of HRV based on wavelet transform is presented . It can produce simulating HRV signals which approximate the real HRV signals not only in time domain but also in frequency domain . A decomposition algorithm of HRV signal in time domain , which is also based on wavelet transform , is also presented in this paper. The result of the decomposition of a simulated HRV signal and a real HRV signal confirms the feasibility of the algorithm .