Blind source extraction of heart sound signals from lung sound recordings exploiting periodicity of the heart sound

被引:8
作者
Tsalaile, T. [1 ]
Naqvi, S. M. [1 ]
Nazarpour, K. [2 ]
Sanei, S. [2 ]
Chambers, J. A. [1 ]
机构
[1] Univ Loughborough, Dept Elect & Elect Engn, Adv Signal Proc Grp, Loughborough LE11 3TU, Leics, England
[2] Cardiff Univ, Ctr Digital Signal Proc, Cardiff CF24 3AA, Wales
来源
2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12 | 2008年
关键词
blind source extraction; second order statistics; periodicity; nonstationarity; heart sound signal and lung sound recordings;
D O I
10.1109/ICASSP.2008.4517646
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
A novel approach for separating heart sound signals (HSSs) from lung sound recordings is presented. The approach is based on blind source extraction (BSE) with second-order statistics (SOS), which exploits the quasi-periodicity of the HSSs. The method is evaluated on both synthetic periodic signals of known period mixed with temporally white Gaussian noise (WGN) as well as on real quasi periodic HSSs mixed with lung sound signals (LSSs). Qualitative evaluation involving comparison of the power spectral densities (PSDs) of the extracted signals, by the proposed method and by the JADE algorithm, and that of the original signal is performed for the case of real data. Separation results confirm the utility of the proposed approach, although departure from strict periodicity may impact performance.
引用
收藏
页码:461 / +
页数:2
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