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Richard Mengko
School of Electrical Engineering and Informatics (STEI) Bandung Institute of Technology (ITB) Indonesia
Computer Science & IT Electrical & Electronics Engineering

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Journal : International Journal of Electrical and Computer Engineering

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Empirical Mode Decomposition (EMD) Based Denoising Method for Heart Sound Signal and Its Performance Analysis Amy Hamidah Salman; Nur Ahmadi; Richard Mengko; Armein Z. R. Langi; Tati L. R. Mengko
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 5: October 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (812.783 KB) | DOI: 10.11591/ijece.v6i5.pp2197-2204

Abstract

In this paper, a denoising method for heart sound signal based on empirical mode decomposition (EMD) is proposed. To evaluate the performance of the proposed method, extensive simulations are performed using synthetic normal and abnormal heart sound data corrupted with white, colored, exponential and alpha-stable noise under different SNR input values. The performance is evaluated in terms of signal-to-noise ratio (SNR), root mean square error (RMSE), and percent root mean square difference (PRD), and compared with wavelet transform (WT) and total variation (TV) denoising methods. The simulation results show that the proposed method outperforms two other methods in removing three types of noises.
Co-Authors Amy Hamidah Salman Armein Z. R. Langi Nur Ahmadi Tati L. R. Mengko