Abstract
Lung sounds (LS) are important for diagnosis of the pulmonary system but interference signals such as heart sounds (HS) complicate their computer analysis. Sub-band decompositions have provided promising schemes for filtering HS; however, the mother wavelet and the number of level of decomposition have to be selected. On the contrary, the Empirical Mode Descomposition (EMD) offers an adaptive, local, complete, and orthogonal decomposition for dealing with nonstationary and nonlinear signals. In this work a combination of EMD, linear adaptive filtering (AF) and time warping (TW) procedure is proposed for filtering HS. The proposed scheme was applied to simulated and real signals. The scheme reduced significantly the power of HS in both simulated and real signals. Therefore, we concluded that the combination of EMD and AF is a promising scheme to deal with heart sound interference in lung sounds analysis.
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Referencias
Pasterkamp H, Kraman S, Wodicka G R. (1997) Respiratory sounds, advances beyond the stethoscope. Am J Crit Care Med, 156:974–987.
Martinez-Hernandez G, Aljama-Corrales T, Gonzalez-Camarena R, Charleston-Villalobos S, Chi-Lem G. (2005) Computerized classification of normal and abnormal lung sounds by multivariate linear autoregressive model. Proc 27th Ann Int Conf IEEE/EMBS, China 2005, pp 1464–1467.
Charleston S, Azimi-Sadjadi M R. (1996) Reduced order Kalman filtering for the enhancement of respiratory sounds. IEEE T Biomed Eng, 43:421–425.
Charleston S, Azimi-Sadjadi M R. (1997) Interference cancellation in respiratory sounds via a multiresolution joint time-delay and signal estimation scheme. IEEE T Biomed Eng, 44:1006–1019.
Huang N E. (1998) The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-Stationary times series analysis. Proc R Soc Lond A, 454:903–995.
Haykin S. (1996) Adaptive Filters Theory. Prentice Hall, New Jersey.
Tomasi G, Van der Berg F, Anderson C. (2004) Correlation optimized warping and dynamic time warping as preprocessing methods for chromatographic data. J Chemometrics, 18:231–241.
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Domínguez-Robert, L.F., Charleston-Villalobos, S., González-Camarena, R., Aljama-Corrales, T. (2007). Descomposición Empírica y Filtrado Adaptable con Ajuste Temporal para la Reducción de Ruidos Cardiacos en Sonidos Respiratorios. In: Müller-Karger, C., Wong, S., La Cruz, A. (eds) IV Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health. IFMBE Proceedings, vol 18. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74471-9_5
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DOI: https://doi.org/10.1007/978-3-540-74471-9_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74470-2
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