Optimal level and order detection in wavelet decomposition for PCG signal denoising.
PCG signal
denoising operation
mother wavelet selection
optimal decomposition level
Journal
Biomedizinische Technik. Biomedical engineering
ISSN: 1862-278X
Titre abrégé: Biomed Tech (Berl)
Pays: Germany
ID NLM: 1262533
Informations de publication
Date de publication:
24 Apr 2019
24 Apr 2019
Historique:
received:
03
01
2018
accepted:
09
04
2018
pubmed:
24
5
2018
medline:
16
10
2019
entrez:
24
5
2018
Statut:
ppublish
Résumé
The recorded phonocardiogram (PCG) signal is often contaminated by different types of noises that can be seen in the frequency band of the PCG signal, which may change the characteristics of this signal. Discrete wavelet transform (DWT) has become one of the most important and powerful tools of signal representation, but its effectiveness is influenced by the issue of the selected mother wavelet and decomposition level (DL). The selection of the DL and the mother wavelet are the main challenges. This work proposes a new approach for finding an optimal DL and optimal mother wavelet for PCG signal denoising. Our approach consists of two algorithms designed to tackle the problems of noise and variability caused by PCG acquisition in a real clinical environment for different categories of patients. The results obtained are evaluated by examining the coherence analysie (Coh) correlation coefficient (Corr) and the mean square error (MSE) and signal-to-noise ratio (SNR) in simulated noisy PCG signals. The experimental results show that the proposed method can effectively reduce noise.
Identifiants
pubmed: 29791308
doi: 10.1515/bmt-2018-0001
pii: bmt-2018-0001
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
163-176Références
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