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Agents and Multi-Agent Systems: Technologies and Applications 2020 pp 235–243Cite as

Multiagent System as Support for the Diagnosis of Language Impairments Using BCI-Neurofeedback: Preliminary Study

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 186))

Abstract

This working progress paper will focus on determining the extent to which the Electroencephalogram (EEG) signal can be subjected to treatment and classification techniques in order to determine whether it is possible to differentiate between language disorders, as well as learn more about the behavior of these language alterations at the brain level, and provide a tool to support the medical diagnosis. We have established the hypothesis that, through a Brain Computer Interface (BCI) as well as through EEG signal treatment and classification techniques, in conjunction with the application of medical Neurofeedback techniques, and identify relevant information that allows grouping of language disorders; this by measuring concentration levels among patients with these conditions.

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Acknowledgements

To CONACYT, for the support provided during the period of study for the master’s degree. To Dr. Rosario Baltazar and the members of the committee of researchers who took part during the realization of this preliminary study. Special thanks goes to Dr. Socorro Gutierrez and Dr. Consuelo Mart­nez for their valuable contribution of knowledge in the medical area related to language.

Author information

Authors and Affiliations

  1. Instituto Tecnológico de León, Av. Tecnológico s/n, León, Guanajuato, Mexico

    Eugenio Martínez, Rosario Baltazar, Miguel Casillas & Martha-Alicia Rocha

  2. Instituto Nacional de Astrofí­sica, Óptica y Electrónica, Luis Enrique Erro 1, Sta Marí­a Tonanzintla, 72840, San Andrés Cholula, Pue, Mexico

    Carlos A. Reyes-García

  3. Centro Estatal de Rehabilitación INGUDIS, Silao, Gto, Mexico

    Socorro Gutierrez

  4. Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Arenal, de Guadalupe, Guadalupe Tlalpan, Tlalpan, 14389, Tlalpan, Mexico

    M. Del Consuelo Martínez Wbaldo

Authors
  1. Eugenio Martínez
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  2. Rosario Baltazar
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  3. Carlos A. Reyes-García
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  4. Miguel Casillas
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  5. Martha-Alicia Rocha
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  6. Socorro Gutierrez
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  7. M. Del Consuelo Martínez Wbaldo
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Corresponding author

Correspondence to Eugenio Martínez .

Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    G. Jezic

  2. School of Mathematical and Computer Sciences, The Heriot-Watt University, Scotland, UK

    J. Chen-Burger

  3. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    M. Kusek

  4. Department of Business Economics and Management, Silesian University in Opava, Opava, Czech Republic

    R. Sperka

  5. Bournemouth University and KES International Research, Shoreham-by-sea, UK

    Robert J. Howlett

  6. University of Technology Sydney, Sydney, NSW, Australia

    Lakhmi C. Jain

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© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Martínez, E. et al. (2020). Multiagent System as Support for the Diagnosis of Language Impairments Using BCI-Neurofeedback: Preliminary Study. In: Jezic, G., Chen-Burger, J., Kusek, M., Sperka, R., Howlett, R., Jain, L. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2020. Smart Innovation, Systems and Technologies, vol 186. Springer, Singapore. https://doi.org/10.1007/978-981-15-5764-4_21

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