Denoising of Fetal Heart Sound Based on Empirical Mode Decomposition Method / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 740-772, 2015.
Artigo
em Chinês
| WPRIM
| ID: wpr-359574
ABSTRACT
Fetal heart sound is nonlinear and non-stationary, which contains a lot of noise when it is colleced, so the denoising method is important. We proposed a new denoising method in our study. Firstly, we chose the preprocessing of low-pass filter with a cutoff frequency of 200 Hz and the resampling. Secondly, we decomposed the signal based on empirical mode decomposition method (EMD) of Hilbert-Huang transform, then denoised some selected target components with wavelet soft threshold adaptive noise cancellation algorithm. Finally we got the clean fetal heart sound by combining the target components. In the EMD, we used a mask signal to eliminate the mode mixing problem, used mirroring extension method to eliminate the end effect, and referenced the stopping rule from the research of Rilling. This method eliminated the baseline drift and noise at once. To compare with wavelet transform (WT), mathematical morphology (MM) and the Fourier transform (FT), the SNR was improved obviously, and the RMSE was the minimum, which could satisfy the need of the practical application.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Fisiologia
/
Algoritmos
/
Processamento de Sinais Assistido por Computador
/
Ruídos Cardíacos
/
Análise de Ondaletas
/
Coração Fetal
/
Razão Sinal-Ruído
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2015
Tipo de documento:
Artigo
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