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本文提出了一种针对智能服装中新型光纤光栅心音传感器采集的心音信号的时频分析算法。首先用db4小波对原始心音信号进行6层分解,根据各层细节分量包含的信号和频率不同采取强制去噪,重构信号;通过Hilbert变换把该重构信号变换为解析信号;选用Choi-Williams核函数对解析信号进行二次型时频分析,得到第一(s1)和第二(s2)心音的参数。实验结果表明,该算法能够准确的得到s1,s2的持续时间、频率以及幅度。
This paper presents a time-frequency analysis algorithm for heart sound signals acquired by a novel fiber grating heart sound sensor in smart clothing. Firstly, db4 wavelet was used to decompose the original heart sound signal into 6 layers. According to the signals and frequencies contained in the detail components, forced denoising and reconstruction were adopted. The reconstructed signal was transformed into analytic signal by Hilbert transform. Choi-Williams The kernel function performs a quadratic time-frequency analysis on the resolved signal to obtain the parameters of the first (s1) and second (s2) heart sounds. The experimental results show that the algorithm can accurately obtain the duration, frequency and amplitude of s1 and s2.