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Application of Wavelet Transform for ECG Processing

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2021, ruSMART 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 13158))

Abstract

The paper describes an algorithm for processing a cardiac signal, which can be applied to a wireless electrocardiogram (ECG) monitoring device with the ability to collect and analyze the data. The processing consists of automated noise removal, smoothing and extraction of the PQRST complex in the ECG signal using wavelet transform. The cardiac signal, due to the wavelet transform, is decomposed into approximating and detailing coefficients, which are responsible for the low-frequency and high-frequency components of the signal respectively. The cleaned signal is the reconstruction of the signal by approximating and modified detailing coefficients. PQRST waves are extracted by approximation coefficients with further search of peaks amplitudes in the purified signal.

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Author information

Authors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, Saint-Petersburg, Russia

    Veronika Malysheva, Diana Zaynullina & Alena Stosh

  2. Saint-Petersburg State University of Aerospace Instrumentation, Saint-Petersburg, Russia

    Gregory Cherepennikov

Authors
  1. Veronika Malysheva
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  2. Diana Zaynullina
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  3. Alena Stosh
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  4. Gregory Cherepennikov
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Corresponding author

Correspondence to Veronika Malysheva .

Editor information

Editors and Affiliations

  1. Tampere University, Tampere, Finland

    Yevgeni Koucheryavy

  2. FRUCT Oy, Helsinki, Finland

    Sergey Balandin

  3. Tampere University, Tampere, Finland

    Sergey Andreev

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Malysheva, V., Zaynullina, D., Stosh, A., Cherepennikov, G. (2022). Application of Wavelet Transform for ECG Processing. In: Koucheryavy, Y., Balandin, S., Andreev, S. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2021 2021. Lecture Notes in Computer Science(), vol 13158. Springer, Cham. https://doi.org/10.1007/978-3-030-97777-1_28

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  • DOI: https://doi.org/10.1007/978-3-030-97777-1_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-97776-4

  • Online ISBN: 978-3-030-97777-1

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