Abstract
An algorithm based on the wavelet decomposition and reconstruction method was developed to extract features from the heart sound recordings. An artificial neural networks classification method based on these features was used to classify the heart sound signals into physiological and pathological murmurs. The classification result indicated 74.4% accuracy.
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