A New ECG Denoising Technique Based on LWT and TVM.
In: Circuits, Systems & Signal Processing, Jg. 40 (2021-12-01), Heft 12, S. 6284-6300
Online
academicJournal
Zugriff:
In this paper, we propose a new technique of Electrocardiogram (ECG ) denoising based on Lifting Wavelet Transform (LWT ) and Total Variation Minimization (TVM ). The first step of this technique consists in applying the LWT to the noisy ECG signal for obtaining three wavelet sub-bands, c D 1 , c D 2 and c A 2 . The coefficients c D 1 and c D 2 are details coefficients, denoised by soft thresholding for obtaining two denoised coefficients, c D d 1 and c D d 2 . The coefficient c A 2 is an approximation coefficient, denoised by TVM based denoising method for obtaining a denoised coefficient c A d 2 . The last step of this technique consists in applying the inverse of LWT to c D d 1 , c D d 2 and c A d 2 for obtaining the denoised ECG signal. The proposed technique evaluation is by comparing it with three other denoising approaches discussed in the extant in literature. The TVM-based approach is the first, the second is 1 - D double-density complex Discrete Wavelet Transform denoising method, and the third is the ECG denoising technique based on Non-local Means. These four mentioned techniques are applied to various ECG signals taken from MIT - BIH database. Those signals are degraded by an additive White Gaussian Noise at different values of Signal to Noise Ratio ( SNR i dB ). The results obtained from the calculation of SNR and the Mean Square Error, infer that the proposed technique outperforms the other denoising approaches selected for the comparative evaluation. [ABSTRACT FROM AUTHOR]
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Titel: |
A New ECG Denoising Technique Based on LWT and TVM.
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Autor/in / Beteiligte Person: | Talbi, Mourad |
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Zeitschrift: | Circuits, Systems & Signal Processing, Jg. 40 (2021-12-01), Heft 12, S. 6284-6300 |
Veröffentlichung: | 2021 |
Medientyp: | academicJournal |
ISSN: | 0278-081X (print) |
DOI: | 10.1007/s00034-021-01781-y |
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