Heart Sound De-noising using Wavelet and Empirical mode Decomposition based Thresholding methods

Shaocan Fan, Boomadevi Sekar, Peng Un Mak, Sio Hang Pun, Mang I Vai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Heart sound de-noising is considered as an important signal pre-processing step in developing computer assisted heart auscultation model. In this paper, we investigate three white noise reduction methods, namely wavelet transform, wavelet packet transform, and empirical mode decomposition for heart sound de-noising. The de-noised signals are evaluated using signal-to-noise ratio and root mean square error. The results show wavelet transform and empirical mode decomposition methods outperform the wavelet packet
transform in heart sound de-noising. The wavelet transform method with 'dmey' wavelet provides a better result for most of the heart sound records. These three de-noising methods are useful to attenuate the white Gaussian noise. It can provide a high quality signal for further signal processing and classifying the heart sound signal.
Original languageEnglish
Title of host publicationData Science and Knowledge Engineering for Sensing Decision Support
EditorsJun Liu, Jie Lu, Yang Xu, Luis Martinez, Etienne Kerre
PublisherWorld Scientific Publishing
Pages1470-1477
ISBN (Electronic)978-981-3273-24-5
ISBN (Print)978-981-3273-22-1
DOIs
Publication statusPublished - 31 Oct 2018
EventFLINS/ISKE 2018 : FLINS Conference on Data Science and Knowledge Engineering for Sensing Decision Support & ISKE Conference on Systems and Knowledge Engineering - Northern Ireland, Belfast
Duration: 21 Aug 201824 Aug 2018

Publication series

Name Book Series: World Scientific Proceedings Series on Computer Engineering and Information Science
PublisherWorld Scientific
Volume11
ISSN (Print)1793-7868

Conference

ConferenceFLINS/ISKE 2018 : FLINS Conference on Data Science and Knowledge Engineering for Sensing Decision Support & ISKE Conference on Systems and Knowledge Engineering
CityBelfast
Period21/08/1824/08/18

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  • Cite this

    Fan, S., Sekar, B., Mak, P. U., Pun, S. H., & Vai, M. I. (2018). Heart Sound De-noising using Wavelet and Empirical mode Decomposition based Thresholding methods. In J. Liu, J. Lu, Y. Xu, L. Martinez, & E. Kerre (Eds.), Data Science and Knowledge Engineering for Sensing Decision Support (pp. 1470-1477). ( Book Series: World Scientific Proceedings Series on Computer Engineering and Information Science; Vol. 11). World Scientific Publishing. https://doi.org/10.1142/9789813273238_0183, https://doi.org/10.1142/11069