Adaptive filtering approach for denoising electrocardiogram signal using moving average filter

Sameer K. Salih, S. A. Aljunid, Syed Mohamed Al-Junid Syed Junid, Oteh Maskon

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The noise within an electrocardiogram signal can cause errors that are viewed in the results of different ECG characteristics, in both amplitude and time interval which ultimately lead to a incorrect diagnosis of cardiac disease. In this paper, a new approach of de-noising the electrocardiogram signal is proposed using multiiteration of the moving average filter. The algorithm of the proposed approach includes two main steps: first to estimate the amount of noise presents in the ECG signal, second to remove the noise added. The proposed de-noising approach is validated with ECG records which were collected from the MIT-BIH ECG database with different amounts of additive gauss white noise. The validation results prove the robustness of proposed denoising approach to provide the greatest signal to noise ratio improvement, and to give a reduction of 50% or more in terms of standard metrics used for computing distortion in a noisy signal. Additionally, the filtered signal has a smooth shape in comparison with the adopted de-noising ECG signal techniques.

Original languageEnglish
Pages (from-to)1065-1069
Number of pages5
JournalJournal of Medical Imaging and Health Informatics
Volume5
Issue number5
DOIs
Publication statusPublished - 1 Sep 2015

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Electrocardiography
Noise
Signal-To-Noise Ratio
Heart Diseases
Databases

Keywords

  • Adaptive Moving Average Filter
  • De-Noising Electrocardiogram Signal
  • Gauss White Noise
  • Noise Estimation

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Health Informatics

Cite this

Adaptive filtering approach for denoising electrocardiogram signal using moving average filter. / Salih, Sameer K.; Aljunid, S. A.; Syed Junid, Syed Mohamed Al-Junid; Maskon, Oteh.

In: Journal of Medical Imaging and Health Informatics, Vol. 5, No. 5, 01.09.2015, p. 1065-1069.

Research output: Contribution to journalArticle

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