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Simulation of Electromyographic Signals Based on Point Distribution Model

  • Conference paper
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IX Latin American Congress on Biomedical Engineering and XXVIII Brazilian Congress on Biomedical Engineering (CLAIB 2022, CBEB 2022)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 98))

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Abstract

A central issue in EMG signal modeling is the simulation of its basic units designated as motor unit action potentials (MUAPs). In this paper we show how the Point Distribution Model (PDM) may be employed for generation of synthetic MUAPs based on experimental data. Our results show that the PDM allows for a simple way of controlling the distortion of synthetic MUAPs. This distortion takes into account underlying statistical properties of experimental data. Furthermore, we illustrate how these artificial MUAPs can be used for generation of electromyographic signals via a data-driven model. A comparison between the power spectra of synthetic and actual EMG signals shows that this model may generate signals that mimic the reality.

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Acknowledgements

This work was supported by the National Council for Scientific and Technological Development (CNPq), Coordination for the Improvement of Higher Education Personnel (Programs CAPES/DFATD-88887.159028/2017-00, CAPES/ COFECUB - 88881.370894/2019-01 and CAPES-PRINT-UFU), and the Foundation for Research Support of the State of Minas Gerais. A.O. Andrade, M. F. Vieira and A. A. Pereira are fellows of CNPq (304818/2018-6 and 305223/2014-3; 304533/2020-3; 309525/2021-7).

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Authors and Affiliations

  1. Federal University of Uberlândia, Faculty of Electrical Engineering, Centre for Innovation and Technology Assessment in Health, Uberlândia, Brazil

    Adriano de Oliveira Andrade, Ariana Moura Cabral & Adriano Alves Pereira

  2. Federal University of Goiás, Bioengineering and Biomechanics Laboratory, Goiânia, Brazil

    Marcus Fraga Vieira

Authors
  1. Adriano de Oliveira Andrade
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  2. Ariana Moura Cabral
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  3. Marcus Fraga Vieira
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  4. Adriano Alves Pereira
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Corresponding author

Correspondence to Adriano de Oliveira Andrade .

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Editors and Affiliations

  1. Institute of Biomedical Engineering, Department of Electrical and Electronic Engineering, Federal University of Santa Catarina, Florianópolis, Brazil

    Jefferson Luiz Brum Marques

  2. Institute of Biomedical Engineering, Department of Electrical and Electronic Engineering, Federal University of Santa Catarina, Florianópolis, Brazil

    Cesar Ramos Rodrigues

  3. Institute of Biomedical Engineering, Department of Electrical and Electronic Engineering, Federal University of Santa Catarina, Florianópolis, Brazil

    Daniela Ota Hisayasu Suzuki

  4. Institute of Biomedical Engineering, Federal University of Santa Catarina, Florianópolis, Brazil

    José Marino Neto

  5. Institute of Biomedical Engineering, Department of Electrical and Electronic Engineering, Federal University of Santa Catarina, Florianópolis, Brazil

    Renato García Ojeda

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de Oliveira Andrade, A., Cabral, A.M., Vieira, M.F., Pereira, A.A. (2024). Simulation of Electromyographic Signals Based on Point Distribution Model. In: Marques, J.L.B., Rodrigues, C.R., Suzuki, D.O.H., Marino Neto, J., García Ojeda, R. (eds) IX Latin American Congress on Biomedical Engineering and XXVIII Brazilian Congress on Biomedical Engineering. CLAIB CBEB 2022 2022. IFMBE Proceedings, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-031-49401-7_10

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  • DOI: https://doi.org/10.1007/978-3-031-49401-7_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-49400-0

  • Online ISBN: 978-3-031-49401-7

  • eBook Packages: EngineeringEngineering (R0)

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