双声道心音信号的欠定盲分离方法的研究

基于两路人体心声信号的专用检测平台,提出了一种针对双声道心音信号的欠定盲分离方法。首先对数据点进行频域聚类计算,利用观测信号中稀疏信号所表现出的特征对源信号个数进行分析,以实现对混叠矩阵的估计;然后根据观测信号的散列图分离出其中一路或多路源信号,从而使观测信号变为适定或者超定;最后用现有的适定或者超定盲分离方法分离剩余源信号。分别对一组人工混合信号和实际检测的双声道心声信号进行欠定盲分离实验,验证了本方法的有效性和可行性。

Research of Underdetermined Blind Source Separation Method on Dual-channel Heart Sound Signal

This paper presents an underdetermined blind source separation method for the dual-channel heart sound signal based on a special test platform of two proprietary human voice signals.Firstly we performed the cluster calculation in the frequency domain for the data points,and analyzed the number of source signals to achieve the estimated mixing matrix by using the sparse signal characteristics shown in the observed signals.Then we have separated one or multiple source signals according to the scatter plot of observed signals.The observed signals are thereby turned into well-posed or overdetermined signals.Finally we have separated the remaining source signals by using traditional well-posed or over determined blind source separation method.The validity and the feasibility of this method have been confirmed through the separation experiment on the artificial mixed-signals and the actual detected two-channel voice signals respectively.