EEG Signals processing two state discrimination using self-organizing maps

Wilber J. Diaz-Sotelo, Avid Roman-Gonzalez, Natalia I. Vargas-Cuentas, Brian Meneses-Claudio, Mirko Zimic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

At present, there are many reasons why persons are affected in their ability to communicate with the society, so it is necessary to find an alternative communication channel for these people. The primary objective of this work is to process electroencephalographic (EEG) signals related to two specific mental task; which are also used to give Yes/No type short answers using signals produced by the brain. These signals come from two electrodes placed directly over the scalp. Obtained signals are related to specific commands or motion intention which can be used to generate an interaction channel for people-who have lost their standard capabilities of communication-with the society. Different processing methods for EEG signals were implemented, analyzed and classified in state of the art. In this paper, a Kohonen self-organizing map is proposed as the classifier. The obtained results give errors of 6% to 7%. The data used in this work was taken from the database of Universidad Peruana Caytano Heredia.

Original languageEnglish (US)
Title of host publicationIEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control
Subtitle of host publicationTowards an Industry 4.0 - Proceedings
EditorsCarlos Munoz, Gaston Lefranc, Mario Fernandez-Fernandez, Ernesto Rubio, Cristian Duran-Faundez
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538655863
DOIs
StatePublished - Jan 10 2019
EventIEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0, ICA-ACCA 2018 - Greater Concepcion, Chile
Duration: Oct 17 2018Oct 19 2018

Publication series

NameIEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings

Conference

ConferenceIEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0, ICA-ACCA 2018
CountryChile
CityGreater Concepcion
Period10/17/1810/19/18

Keywords

  • BCI
  • Brain-computer interface
  • SOM
  • electroencephalogram
  • yes/no question

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Instrumentation

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  • Cite this

    Diaz-Sotelo, W. J., Roman-Gonzalez, A., Vargas-Cuentas, N. I., Meneses-Claudio, B., & Zimic, M. (2019). EEG Signals processing two state discrimination using self-organizing maps. In C. Munoz, G. Lefranc, M. Fernandez-Fernandez, E. Rubio, & C. Duran-Faundez (Eds.), IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings [8609745] (IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICA-ACCA.2018.8609745