On the separation of heart sound components using a translated empirical mode decomposition

Authors:
Christophe Segalen;Meryem Jabloun;Philippe Ravier;Rachid Harba;R. Ledee;L. D. Nguyen
Affiliations:
Orleans University, PRISME laboratory, Orleans, France;Orleans University, PRISME laboratory, Orleans, France;Orleans University, PRISME laboratory, Orleans, France;Orleans University, PRISME laboratory, Orleans, France;Orleans University, PRISME laboratory, Orleans, France;Centre Hospitalier Universitaire, France
Venue:
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Year:
2011

Citing 4
Cited 0

Automatic measure of the split in the second cardiac sound by using the wavelet transform technique

Computers in Biology and Medicine
Heart Sound Abnormality Detection Using Short Time Fourier Transform and Continuous Wavelet Transform

ICETET '09 Proceedings of the 2009 Second International Conference on Emerging Trends in Engineering & Technology
Cyclic System Reconfiguration and Time-Split Signal Separation With Applications to Lung Sound Pattern Analysis

IEEE Transactions on Signal Processing
One or Two Frequencies? The Empirical Mode Decomposition Answers

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we aim at correctly separating components of heart sounds using the well-known method "Empirical Modal Decomposition" (EMD) combined with a modulation step and a demodulation one. PhonoCardioGram (PCG) signals are first translated to low frequencies. Then they are processed using the EMD method for separating the components of interest. Once this step fulfilled, the separated components are translated back into the original frequency domain. Simulation results show the method proposed outperforms the classical EMD when applied to two components having close frequencies. The processing of real PCG data shows the obtained results to be in agreement with clinical auscultation. Moreover, the time split in heart sound components the detection of which using audition accuracy is suboptimal, can be accurately estimated using the proposed method. This time split could have a clinical meaning and perhaps in some cases a therapeutic consequence.