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Processing of a Spectral Electromyogram by the Method of Wavelet Analysis Using the Modified Morlet Function

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High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production (HPCST 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1526))

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Abstract

Spectral electromyography (EMG), which supplements classical electromyography (EMG), is one of the diagnostic techniques of the physical health of a person. Different spectral analysis techniques are suitable for carrying out EMG; Fourier transform and wavelet analysis are the basic ones. Fourier transform has one serious drawback, i.e. meaningful measurements are misleading due to the Gibbs phenomenon. According to the authors, the best solution is the Morlet wavelet function, which also has drawbacks. Firstly, compensation for the Gibbs effect is incomplete. Secondly, the basic view of the Morlet wavelet function prevents changing the properties of functions for different applications. Thirdly, it requires significant computing resources (millions of multiply-accumulate operations per second). The article is devoted to the ways of solution of these problems using myosignal processing as an example.

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Authors and Affiliations

  1. MIREA –Russian Technological University, 78 Vernadsky Ave., Moscow, 119454, Russia

    Dmitry Potekhin

  2. KGTA named after V.A. Degtyarev — Russian Technological Academy, 19 Mayakovskaya str., Kovrov, 601910, Russia

    Yuliya Grishanovich

Authors
  1. Dmitry Potekhin
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  2. Yuliya Grishanovich
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Corresponding author

Correspondence to Dmitry Potekhin .

Editor information

Editors and Affiliations

  1. Altai State University, Barnaul, Russia

    Vladimir Jordan

  2. MIREA - Russian Technological University, Moscow, Russia

    Ilya Tarasov

  3. Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia

    Vladimir Faerman

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Potekhin, D., Grishanovich, Y. (2022). Processing of a Spectral Electromyogram by the Method of Wavelet Analysis Using the Modified Morlet Function. In: Jordan, V., Tarasov, I., Faerman, V. (eds) High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production. HPCST 2021. Communications in Computer and Information Science, vol 1526. Springer, Cham. https://doi.org/10.1007/978-3-030-94141-3_7

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  • DOI: https://doi.org/10.1007/978-3-030-94141-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-94140-6

  • Online ISBN: 978-3-030-94141-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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