Performance comparison of denoising methods for heart sound signal

Abstract

This paper presents the performance analysis and comparison of three denosing methods for heart sound signal based on wavelet transform (WT), total variation (TV), and empirical mode decomposition (EMD). Extensive simulations are performed using normal and abnormal heart sound data and the performance is evaluated in terms of signal-to-noise ratio (SNR), root mean square error (RMSE), and percent root mean square difference (PRD). The simulation results show that EMD based denosing method outperforms two other methods.