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A novel heart sound (HS) recognition system based Full Bayesian Neural Network Model (FBNNM) is presented. Features are extracted from Power Spectrum Distribution (PSD), the normalized average Shannon energy (NASN) in wavelet domain; and the Correlation-Dimension (CD) is also employed from the view of dynamic system. These features were used as inputs to the FBNNM for HS recognition. A total of 64...
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