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Non-invasive diagnosis methods of coronary disease based on wavelet denoising and sound analyzing
Joint Authors
Chen, Tianhua
Shao, Siqi
Zhao, Shuo
Zheng, Siqun
Source
Saudi Journal of Biological Sciences
Issue
Vol. 24, Issue 3 (31 Mar. 2017), pp.526-536, 11 p.
Publisher
Publication Date
2017-03-31
Country of Publication
Saudi Arabia
No. of Pages
11
Main Subjects
Topics
Abstract EN
The heart sound is the characteristic signal of cardiovascular health status.
The objective of this project is to explore the correlation between Wavelet Transform and noise performance of heart sound and the adaptability of classifying heart sound using bispectrum estimation.
Since the wavelet has multi-scale and multi-resolution characteristics, in this paper, the heart sound signal with different frequency ranges is decomposed through wavelet and displayed on different scales of the resolving wavelet result.
According to distribution features of frequency of heart sound signals, the interference components in heart sound signal can be eliminated by selecting reconstruction coefficients.
Comparing de-noising effects of four wavelets which are haar, db6, sym8 and coif6, the db6 wavelet has achieved an optimal denoising effect to heart sound signals.
The denoising result of contrasting different layers in the db6 wavelet shows that decomposing with five layers in db6 provide the optimal performance.
In practice, the db6 wavelet also shows commendable denoising effects when applying to 51 clinical heart signals.
Furthermore, through the clinic analyses of 29 normal signals from healthy people and 22 abnormal heart signals from coronary heart disease patients, this method can fairly distinguish abnormal signals from normal signals by applying bispectrum estimation to denoised signals via ARMA coefficients model.
American Psychological Association (APA)
Chen, Tianhua& Zhao, Shuo& Shao, Siqi& Zheng, Siqun. 2017. Non-invasive diagnosis methods of coronary disease based on wavelet denoising and sound analyzing. Saudi Journal of Biological Sciences،Vol. 24, no. 3, pp.526-536.
https://search.emarefa.net/detail/BIM-761761
Modern Language Association (MLA)
Chen, Tianhua…[et al.]. Non-invasive diagnosis methods of coronary disease based on wavelet denoising and sound analyzing. Saudi Journal of Biological Sciences Vol. 24, no. 3 (Mar. 2017), pp.526-536.
https://search.emarefa.net/detail/BIM-761761
American Medical Association (AMA)
Chen, Tianhua& Zhao, Shuo& Shao, Siqi& Zheng, Siqun. Non-invasive diagnosis methods of coronary disease based on wavelet denoising and sound analyzing. Saudi Journal of Biological Sciences. 2017. Vol. 24, no. 3, pp.526-536.
https://search.emarefa.net/detail/BIM-761761
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 536
Record ID
BIM-761761