Abstract
In this paper, heart sound and its research methods are discussed. The traditional methods and the novel deep learning algorithm methods of heart sound research are introduced respectively. For traditional methods, there are short-time Fourier transform, Wavelet transform, Wigner-Ville Distribution and Hilbert analysis. For novel deep learning algorithm methods, CNN, RNN and U-net framework are mainly introduced. Their characteristics and applications are compared through comparative analysis, and the main research direction and significance of heart sound signal analysis and processing are comprehensively explained.
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