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Development of a Computer Simulator of the Visual N2 Event-Related Potential Component for the Study of Cognitive Processes

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Book cover XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 (MEDICON 2019)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 76))

Abstract

The importance of visual N2 Event-Related Potential (ERP) component in the study of cognitive processes lies in its interpretation as a measure of the allocation of visual attention to possible targets. Unfortunately, the N2 component has a small amplitude and the domain of validity of methods used for its estimation is difficult to assess if real data are considered. Here, we develop a computer simulator of ERP measurements emulating the variability of the visual N2 component and use the synthetic data to evaluate the performance of four popular literature ERP estimation methods. Results confirmed that a solid simulation framework could allow identifying a reliable method to detect small-amplitude ERP components and quantifying its accuracy.

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Authors and Affiliations

  1. University of Padova, 35131, Padua, PD, Italy

    Francesca Marturano, Sabrina Brigadoi, Mattia Doro, Roberto Dell’Acqua & Giovanni Sparacino

Authors
  1. Francesca Marturano
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  2. Sabrina Brigadoi
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  3. Mattia Doro
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  4. Roberto Dell’Acqua
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  5. Giovanni Sparacino
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Corresponding author

Correspondence to Giovanni Sparacino .

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Editors and Affiliations

  1. University of Coimbra, Coimbra, Portugal

    Jorge Henriques

  2. Universidade do Minho, Braga, Portugal

    Nuno Neves

  3. University of Coimbra, Coimbra, Portugal

    Paulo de Carvalho

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Marturano, F., Brigadoi, S., Doro, M., Dell’Acqua, R., Sparacino, G. (2020). Development of a Computer Simulator of the Visual N2 Event-Related Potential Component for the Study of Cognitive Processes. In: Henriques, J., Neves, N., de Carvalho, P. (eds) XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019. MEDICON 2019. IFMBE Proceedings, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-030-31635-8_4

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  • DOI: https://doi.org/10.1007/978-3-030-31635-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-31634-1

  • Online ISBN: 978-3-030-31635-8

  • eBook Packages: EngineeringEngineering (R0)

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