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A Study on ECG Denoising Using Wiener Filter

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7th International Conference on Advancements of Medicine and Health Care through Technology (MEDITECH 2020)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 88))

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Abstract

The electrocardiogram (ECG) is an essential signal in the medical field, with the help of which doctors manage to identify the electrical functions of the heart. From the interpretation of the ECG signal it is possible to diagnose and measure the presence of abnormal heart rhythms, as well as the presence of indicators for future abnormalities. The captured ECG signal is usually contaminated with noise. Therefore, it is important to eliminate the noise to prevent any error in the subsequent analysis of the signal. This paper presents a study of ECG noise reduction via adaptive filtering using the Wiener filter. Simulation results obtained in Matlab provide a numeric assessment of the approach.

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Authors and Affiliations

  1. Technical University of Cluj-Napoca, Cluj-Napoca, Romania

    Laura Mihăilă, Paul Faragó, Călin Fărcaș & Sorin Hintea

Authors
  1. Laura Mihăilă
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  2. Paul Faragó
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  3. Călin Fărcaș
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  4. Sorin Hintea
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Corresponding author

Correspondence to Paul Faragó .

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Editors and Affiliations

  1. Faculty of Electrical Engineering, Technical University of Cluj-Napoca, Cluj-Napoca, Romania

    Simona Vlad

  2. Faculty of Electrical Engineering, Technical University of Cluj-Napoca, Cluj-Napoca, Romania

    Nicolae Marius Roman

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The authors declare that they have no conflict of interest.

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Mihăilă, L., Faragó, P., Fărcaș, C., Hintea, S. (2022). A Study on ECG Denoising Using Wiener Filter. In: Vlad, S., Roman, N.M. (eds) 7th International Conference on Advancements of Medicine and Health Care through Technology. MEDITECH 2020. IFMBE Proceedings, vol 88. Springer, Cham. https://doi.org/10.1007/978-3-030-93564-1_2

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  • DOI: https://doi.org/10.1007/978-3-030-93564-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-93563-4

  • Online ISBN: 978-3-030-93564-1

  • eBook Packages: EngineeringEngineering (R0)

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