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Denoising Pulse Wave Signal Based on Wavelet Decomposition

  • Conference paper
6th European Conference of the International Federation for Medical and Biological Engineering

Part of the book series: IFMBE Proceedings ((IFMBE,volume 45))

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Abstract

A method for multiresolution wavelet decomposition of pulse wave signal in the presence of motion artifacts is described. The problem of choosing optimal parameters of denoising pulse wave signal from motion artifacts is discussed. Optimal parameters of pulse wave signal wavelet filtration are defined by using the criterion of minimal biosignal distortion after filtering by comparison with a model signal free of motion artifacts.

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Author information

Authors and Affiliations

  1. Department of Laser and Bioengineering Systems, Samara State Aerospace University, Samara, Russian Federation

    Aleksandr A. Fedotov

  2. Radioengineering Faculty, Samara State Aerospace University, Samara, Russian Federation

    Anna S. Akulova

  3. Department of Radioengineering, Samara State Aerospace University, Samara, Russian Federation

    Sergey A. Akulov

Authors
  1. Aleksandr A. Fedotov
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  2. Anna S. Akulova
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  3. Sergey A. Akulov
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Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    Igor Lacković

  2. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    Darko Vasic

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© 2015 Springer International Publishing Switzerland

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Fedotov, A.A., Akulova, A.S., Akulov, S.A. (2015). Denoising Pulse Wave Signal Based on Wavelet Decomposition. In: Lacković, I., Vasic, D. (eds) 6th European Conference of the International Federation for Medical and Biological Engineering. IFMBE Proceedings, vol 45. Springer, Cham. https://doi.org/10.1007/978-3-319-11128-5_25

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  • DOI: https://doi.org/10.1007/978-3-319-11128-5_25

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11127-8

  • Online ISBN: 978-3-319-11128-5

  • eBook Packages: EngineeringEngineering (R0)

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