Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICME.2008.4607451
Title: Heart sound localization from Respiratory Sound using a robust wavelet based approach
Authors: Jin, F.
Sattar, F.
Razul, S.G.
Goh, D.Y.T. 
Keywords: Cumulative sum
Heart Sound (HS) localization
Multiscale decomposition
Respiratory Sound (RS)
Wavelet
Issue Date: 2008
Source: Jin, F., Sattar, F., Razul, S.G., Goh, D.Y.T. (2008). Heart sound localization from Respiratory Sound using a robust wavelet based approach. 2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings : 381-384. ScholarBank@NUS Repository. https://doi.org/10.1109/ICME.2008.4607451
Abstract: This paper addresses the problem of Heart Sounds (HS) localization from single channel Respiratory Sounds (RS) recordings by applying wavelet-based localization scheme. After a wavelet-based multiscale decomposition of the noisy signal, HS contaminated segments are localized in the noisy RS signal based on the cumulative sums of likelihood ratios capturing the dynamic behaviour of the signal. Quantitative evaluation of the localized HS segments for various types of simulated data has been performed. The comparisons between the estimated boundaries of the localized HS segments and the actual segment boundaries of the synchronized pure HS signals show the proposed method is able to localize the HS segments accurately in an automatic way. Also, the test results on real RS recordings in terms of the detection accuracy show the promising performance by the proposed method. © 2008 IEEE.
Source Title: 2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/132918
ISBN: 9781424425716
DOI: 10.1109/ICME.2008.4607451
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