An efficient algorithm of ECG signal denoising using the adaptive dual threshold filter and the discrete wavelet transform

• Autorzy: Jenkal W. , Latif R. , Toumanari A. , Dliou A. , El B'charri O. , Maoulainine F. M. R.

Identyfikatory

DOI

10.1016/j.bbe.2016.04.001

• Języki publikacji: EN

Abstrakty

EN

This paper proposes an efficient method of ECG signal denoising using the adaptive dual threshold filter (ADTF) and the discrete wavelet transform (DWT). The aim of this method is to bring together the advantages of these methods in order to improve the filtering of the ECG signal. The aim of the proposed method is to deal with the EMG noises, the power line interferences and the high frequency noises that could perturb the ECG signal. This algorithm is based on three steps of denoising, namely, the DWT decomposition, the ADTF step and the highest peaks correction step. This paper presents certain applications of this algorithm on some of the MIT-BIH Arrhythmia database's signals. The results of these applications allow observing the high performance of the proposed method comparing to some other techniques recently published.

Słowa kluczowe

EN

ECG signal denoising; wavelet coefficients; dual threshold; adaptive filtering

PL

sygnał EKG; współczynnik falkowy; filtracja adaptacyjna

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2016
• Tom: Vol. 36, no. 3
• Strony: 499--508
• Opis fizyczny: Bibliogr. 27 poz., rys., tab., wykr.

Twórcy

autor

Jenkal W.

• Laboratory of Systems Engineering and Information Technology (LiSTi), ENSA, Ibn Zohr University, Agadir, Morocco

autor

Latif R.

• Laboratory of Systems Engineering and Information Technology (LiSTi), ENSA, Ibn Zohr University, Agadir, Morocco

autor

Toumanari A.

• Laboratory of Systems Engineering and Information Technology (LiSTi), ENSA, Ibn Zohr University, Agadir, Morocco

autor

Dliou A.

• Laboratory of Systems Engineering and Information Technology (LiSTi), ENSA, Ibn Zohr University, Agadir, Morocco

autor

El B'charri O.

• Laboratory of Systems Engineering and Information Technology (LiSTi), ENSA, Ibn Zohr University, Agadir, Morocco

autor

Maoulainine F. M. R.

• Team of Child, Healt and Development, CHU, Faculty of Medicine, Cady Ayyad University, Marrakech, Morocco

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.