Analyzed heart and lung sounds is shown in this diagram. (A) Flow diagram shows how the wavelet denoising technique works by decomposing and recomposing collected sounds. (B) Scalograms of different anomalies from recorded lung sounds, with normalized frequency in radians per sample for each sample. The wavelet decomposition of the denoising technique is supplied into each sample data. (C) Denoised SWS data (left column) compared to measured sounds from a commercial stethoscope (3M Littmann; right column) and the matching SNR values. (D) Rhonchi patient data including SNR values and trend charting. (E) Wheeze patient data including SNR values and trend charting. (F) Patient data from Stridor with trend charting and SNR values.