基于小波分析的脉搏波信号处理

Analysis of pulse-wave signals based on wavelet denoising

对脉搏波信号进行分析之前,对信号的去噪非常重要,本论文利用Mallat算法对脉搏波信号进行多分辨分析和去噪,分别对阈值法、平移不变量法、模极大值法的降噪原理进行分析,通过大量实验对比,比较了它们在处理脉搏波信号方面的优缺点。通过对一段含噪脉搏波信号降噪,得到了满意的去噪效果。

De-noising of the pulse-wave signal is important before the analysis. This paper used the Mallat algorithm for completing the multi-resolution analysis and denoising of the pulse wave, and analyzed the principle of the threshold value method, modulus maxima method, and translation invariance. Through comparative analysis of a large number of experiments to verify their advantages and disadvantages. It is verified the advantages and disadvantages of dealing with the pulse-wave signal. Applying it in de-noising pulse-wave signal makes the good effect.