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A Parallel Implementation of the Discrete Wavelet Transform Applied to Real-Time EEG Signal Filtering

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XXVI Brazilian Congress on Biomedical Engineering

Part of the book series: IFMBE Proceedings ((IFMBE,volume 70/2))

Abstract

A Brain-Computer Interface (BCI) is a direct communication pathway between the human brain and an external device or machine. Those systems can be controlled by invasive or non-invasive brain signals. Examples of non-invasive systems are Electroencephalography-based (EEG) BCIs for Motor Imagery (MI) detection. Field Programmable Gate Arrays (FPGAs) could be used in online BCIs for parallel computation purposes. In this work, an FPGA-based BCI was developed in order to decompose a raw EEG signal into its different types of rhythms such as beta (β), alpha (α), theta (θ), and delta (δ), by using filter banks based on the Daubechies-4 Discrete Wavelet Transform (DWT). The designed system generates all coefficients in real-time and uses both serial and video communication interfaces for visualization and analysis purposes. The input signals, used for testing, came from an open source database. For validation purposes, an off-line signal processing confirmed the accuracy of results. The outcome showed that the use of multi-rate filters resulted in low hardware resources consumption.

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Author information

Authors and Affiliations

  1. Biomedical Engineering Research Group (GPEB), Federal University of Pernambuco (UFPE), Recife, Brazil

    Diogo R. R. Freitas, Ana V. M. Inocêncio, Lucas T. Lins, Gilson J. Alves & Marco A. Benedetti

  2. University of Pernambuco (UPE), Recife, Brazil

    Diogo R. R. Freitas

Authors
  1. Diogo R. R. Freitas
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  2. Ana V. M. Inocêncio
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  3. Lucas T. Lins
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  4. Gilson J. Alves
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  5. Marco A. Benedetti
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Corresponding author

Correspondence to Diogo R. R. Freitas .

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Editors and Affiliations

  1. INMETRO-Instituto Nacional de Metrologia, Qualidade e Tecnologia, Duque de Caxias, Rio de Janeiro, Brazil

    Rodrigo Costa-Felix

  2. Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

    João Carlos Machado

  3. INMETRO-Instituto Nacional de Metrologia, Qualidade e Tecnologia, Duque de Caxias, Rio de Janeiro, Brazil

    André Victor Alvarenga

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Freitas, D.R.R., Inocêncio, A.V.M., Lins, L.T., Alves, G.J., Benedetti, M.A. (2019). A Parallel Implementation of the Discrete Wavelet Transform Applied to Real-Time EEG Signal Filtering. In: Costa-Felix, R., Machado, J., Alvarenga, A. (eds) XXVI Brazilian Congress on Biomedical Engineering. IFMBE Proceedings, vol 70/2. Springer, Singapore. https://doi.org/10.1007/978-981-13-2517-5_3

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  • DOI: https://doi.org/10.1007/978-981-13-2517-5_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2516-8

  • Online ISBN: 978-981-13-2517-5

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