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A Real-Time Embedded System Design for ERD/ERS Measurement on EEG-Based Brain-Computer Interfaces

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XXVI Brazilian Congress on Biomedical Engineering

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

Abstract

Electroencephalography (EEG) is a noninvasive technique that acquires signals from the scalp triggered by brain electrical activities. Through this technique, it is possible to develop real-time Brain-Computer Interfaces (BCIs) that are able to control cyber-mechanical devices. In addition, the Discrete Wavelet Transform (DWT) is a signal processing tool that decomposes an EEG input signal vector into its sub-bands beta, alpha, theta, and delta. In this work, by using an algorithm based on the DWT and filter banks, the alpha sub-band could be extracted from a raw EEG signal, thus enabling the calculation of its power. By utilizing this methodology, it was possible to measure the Event-Related Desynchronization (ERD) and Event-Related Synchronization (ERS), in order to develop a synchronous EEG-based BCI for hand Motor Imagery (MI) detection. A device synthesized in FPGA was developed to calculate the power spectrum of the EEG alpha rhythms from C3 and C4 channels in real-time, aiming the feeding of a classifier circuit block that labels the MI as a left-hand or right-hand class of movement. The novelty of this work mainly consists of the development of an IP core for real-time parallel calculation of ERD. The main motivation of this work is providing a control tool for robotic arms or virtual reality devices by using real-time MI recognition.

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Authors and Affiliations

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

    Diogo R. R. Freitas, Ana V. M. Inocêncio, Lucas T. Lins, Emmanuel A. B. Santos & Marco A. Benedetti

  2. University of Pernambuco, Recife, Brazil

    Diogo R. R. Freitas & Emmanuel A. B. Santos

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. Emmanuel A. B. Santos
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  5. Marco A. Benedetti
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Corresponding author

Correspondence to Diogo R. R. Freitas .

Editor information

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., Santos, E.A.B., Benedetti, M.A. (2019). A Real-Time Embedded System Design for ERD/ERS Measurement on EEG-Based Brain-Computer Interfaces. 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_4

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  • DOI: https://doi.org/10.1007/978-981-13-2517-5_4

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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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