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

Paper ID Volume ID Publish Year Pages File Format Full-Text
5138 342 2016 10 PDF Available
Title
An efficient algorithm of ECG signal denoising using the adaptive dual threshold filter and the discrete wavelet transform
Abstract

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.

Keywords
ECG signal denoising; Wavelet coefficients; Dual threshold; Adaptive filtering
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An efficient algorithm of ECG signal denoising using the adaptive dual threshold filter and the discrete wavelet transform
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Publisher
Database: Elsevier - ScienceDirect
Journal: Biocybernetics and Biomedical Engineering - Volume 36, Issue 3, 2016, Pages 499–508
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us