基于小波包和局部噪声估计的心音去噪方法

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI) Pub Date : 2015-10-01 DOI:10.1109/BMEI.2015.7401543

X. Cai, Zufu Yang, Shoulin Li

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引用次数: 0

摘要

心音是一种典型的非平稳微弱信号。来自临床环境的心音不可避免地受到一些噪音的污染。心音中的噪声包括有色噪声和白噪声。本文提出了一种基于谐波小波包的去噪方法，采用最小熵原理下寻找最优分解、选择合理分解深度和估计局部噪声作为去噪阈值的方法。实验结果表明，该方法是有效的。

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The heart sound de-noising method based on the wavelet packet and local noise estimation

Heart sound is a kind of typical non-stationary weak signal. Heart sounds from clinical settings are unavoidably contaminated by some noise. The noise in heart sounds includes colored noise and white noise. A de-noising method is presented in this paper, which is based on a harmonic wavelet packet and adopts the methods of finding an optimal decomposing under the minimum entropy principle, selecting reasonable decomposing depths and estimating the local noise as de-noising thresholds. The experiment results show that the method is effective.

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2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)

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