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A Review of EEG Signal Simulation Methods

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Neural Information Processing (ICONIP 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9950))

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Abstract

This paper describes EEG signal simulation methods. Three main methods have been included in this study: Markov Process Amplitude (MPA), Artificial Neural Network (ANN), and Autoregressive (AR) models. Each method is described procedurally, along with mathematical expressions. By the end of the description of each method, the limitations and benefits are described in comparison with other methods. MPA comprises of three variations; first-order MPA, nonlinear MPA, and adaptive MPA. ANN consists of two variations; feed forward back-propagation NN and multilayer feed forward with error back-propagation NN with embedded driving signal. AR model based filtering has been considered with its variation, genetic algorithm based on autoregressive moving average (ARMA) filtering.

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Notes

  1. 1.

    signum function or sgn (x)

    $$ sgn(x) = {\left\{ \begin{array}{ll} 1 &{} \quad \text {if } x \ge 0\\ -1 &{} \quad \text {if } x < 0\\ \end{array}\right. }. $$

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Acknowledgments

This research is supported by the HiCoE grant for CISIR (0153CA-002) and FRGS/1/2014/SG04/UTP/02/1 from the Ministry of Education (MoE) of Malaysia.

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Authors and Affiliations

  1. Centre for Intelligent Signal and Imaging Research (CISIR) and Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, 32610, Bandar Seri Iskandar, Perak, Malaysia

    Muhammad Izhan Noorzi & Ibrahima Faye

Authors
  1. Muhammad Izhan Noorzi
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  2. Ibrahima Faye
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Correspondence to Ibrahima Faye .

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Editors and Affiliations

  1. The University of Tokyo , Tokyo, Japan

    Akira Hirose

  2. Kobe University , Kobe, Japan

    Seiichi Ozawa

  3. Okinawa Institute of Science and Technology Graduate University, Onna, Japan

    Kenji Doya

  4. Nara Institute of Science and Technology , Ikoma, Japan

    Kazushi Ikeda

  5. Kyungpook National University , Daegu, Korea (Republic of)

    Minho Lee

  6. Chinese Academy of Sciences , Beijing, China

    Derong Liu

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Noorzi, M.I., Faye, I. (2016). A Review of EEG Signal Simulation Methods. In: Hirose, A., Ozawa, S., Doya, K., Ikeda, K., Lee, M., Liu, D. (eds) Neural Information Processing. ICONIP 2016. Lecture Notes in Computer Science(), vol 9950. Springer, Cham. https://doi.org/10.1007/978-3-319-46681-1_71

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  • DOI: https://doi.org/10.1007/978-3-319-46681-1_71

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