Adaptive filtering reduces heart-noise in lung sounds by up to 49%, suggesting improved audio quality for respiratory exams.
When analyzing lung sounds, heart sounds are an unavoidable and sometimes severely disturbing source of noise. An attractive noise-reduction scheme which is able to preserve the entire spectrum of the desired signal is adaptive filtering. However, such a scheme usually requires a second 'noise-only' reference-signal. A new noise-reduction method which needs only a single microphone signal is presented. This algorithm uses adaptive filtering and therefore still preserves the entire spectrum. Results from experiments with healthy subjects indicate that heart-noise reductions by 24 to 49% can be achieved using this method.
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Kompis et al. (1992) studied this question.
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