Abstract
Heart and lung sounds are of essential importance in medical diagnosis of patients with lung or heart diseases. To obtain reliable diagnosis and detection, it is critically important that cardiac and respiratory auscultation obtain sounds of high clarity. However, heart and lung sounds interfere with each other in auscultation, corrupting sound quality and causing difficulties in diagnosis. For example, the main frequency components of heart sounds, which are in the range of 50–100 Hz, often produce an intrusive interference that masks the clinical interpretation of lung sounds over the low-frequency band. It is highly desirable, especially in computerized heart/lung sound analysis, to separate the overlapped heart and lung sounds before using them for diagnosis.
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He, Q., Wang, L.Y., Yin, G.G. (2013). Applications to Medical Signal Processing. In: System Identification Using Regular and Quantized Observations. SpringerBriefs in Mathematics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6292-7_7
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