Heart and lung sound separation using periodic source extraction method

Foad Ghaderi, S. Sanei, B. Makkiabadi, V. Abolghasemi, J. McWhirter
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引用次数: 18

Abstract

In this paper a novel algorithm for blind source extraction of quasi-periodic signals is developed. It is assumed that the cycle frequencies of the sources are known a priori. Necessary and sufficient conditions are introduced and Jacobi method for diagonalization of complex matrices is used to find the solution. A warping method is also introduced to adjust the cycle frequencies in the signals with time varying periods. The proposed algorithm is applied to simulated data and mixtures of heart and lung sounds, and effectiveness and performance of the algorithm are verified.
利用周期性声源提取法分离心肺声
提出了一种新的准周期信号盲源提取算法。假定源的周期频率是先验已知的。引入了解的充分必要条件,并利用复矩阵对角化的雅可比方法求解。还引入了一种扭曲方法来调整随时间变化的信号中的周期频率。将该算法应用于模拟数据和混合心肺音,验证了算法的有效性和性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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