Acoustical Physics

, Volume 47, Issue 3, pp 353–360 | Cite as

Two-Channel Processing of Signals for the Separation of Breath and Cardiac Sounds



An algorithm based on the two-channel processing and the confluence analysis techniques is proposed for obtaining the averaged spectra of additive components of a nonstationary random signal. A numerical experiment demonstrating the efficiency of the proposed algorithm is conducted. The algorithm is tested using a real signal recorded at a human thorax and including breath and cardiac sounds and a stationary background noise.


Background Noise Acoustical Physic Sound Signal Breath Sound Reconstructed Spectrum 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Rudnitskiĭ 2001

Authors and Affiliations

  1. 1.Institute of HydromechanicsNational Academy of Sciences of UkraineKievUkraine

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