Two-Channel Processing of Signals for the Separation of Breath and Cardiac Sounds
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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.
KeywordsBackground Noise Acoustical Physic Sound Signal Breath Sound Reconstructed Spectrum
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