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Heart sound analysis plays an important role in the auscultative diagnosis process to detect the presence of cardiovascular diseases. In this paper we propose a novel parametric heart sound model that accurately represents normal and pathological cardiac audio signals, also known as phonocardiograms (PCG). The proposed model considers that the PCG signal is formed by the sum of two parts: one of them...
The segmentation of heart sound signals is the first step of analysis for many applications such as computer-aided auscultation, heart sound classification or signal compression. In this paper we present a novel heart sound segmentation technique based on the Matching Pursuit algorithm. We also show that Gabor atoms can provide highly effective representation of audio signals. The performance of the...
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