Identification of the Normal and Abnormal Heart Sounds Based on Energy Features and Neural Network

Abstract

A normal and abnormal heart sound identification method was put forward in the paper. The wavelet packet energy features of the heart sounds were extracted and LM-BP neural network was used as the classifier. Experimental results showed that the proposed algorithm converged much faster than traditional BP neural network, and achieved better results compared with two traditional heart sound processing methods based on STFT and Spectrogram analysis.