Research On Heart Sound Denoising Method Based On CEEMDAN And Optimal Wavelet

For the traditional heart sound denoising algorithm is easy to filter the effective information of heart sound, a method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and optimal wavelet is proposed for heart sound denoising. Firstly, CEEMDAN algorithm is used...

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Bibliographic Details
Published in2022 2nd International Conference on Consumer Electronics and Computer Engineering (ICCECE) pp. 629 - 632
Main Authors Xu, Chundong, Li, Haibing, Xin, Pengli
Format Conference Proceeding
LanguageEnglish
Published IEEE 14.01.2022
Subjects
autocorrelation function
CEEMDAN
Empirical mode decomposition
Filtering algorithms
Heart
heart sound signal
Information filters
Noise measurement
Noise reduction
optimal wavelet
Wavelet analysis
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DOI10.1109/ICCECE54139.2022.9712657

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Summary:For the traditional heart sound denoising algorithm is easy to filter the effective information of heart sound, a method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and optimal wavelet is proposed for heart sound denoising. Firstly, CEEMDAN algorithm is used to decompose the noisy heart sound signal to obtain several Intrinsic Mode Functions (IMF) with different scales. Then, the noisy information of IMF components is analyzed according to the characteristics of autocorrelation function, the noise dominated IMF components are removed, and the aliased IMF components are subjected to optimal wavelet denoising. Finally, the processed IMF component and the remaining IMF component are reconstructed to obtain the denoised heart sound signal. The experimental results show that this method has obvious effect in heart sound denoising, and the signal-to-noise ratio (SNR) and root mean square error (RMSE) are better.
DOI:10.1109/ICCECE54139.2022.9712657