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Comparison of Test D2 with Electroencephalographic Signals to Measure Attention and Concentration in University Students

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Advanced Research in Technologies, Information, Innovation and Sustainability (ARTIIS 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1485))

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Abstract

The objective of the experiment is to register the electroencephalographic signals (EEG) during the application of a selective attention test to measure the level of attention and concentration that university students have. The test that has been selected for this work is the called D2 attention test. The D2 is a time-limited test that assesses selective attention through a cancellation task. It measures the processing speed, the following of instructions and the goodness of the execution in a discrimination task of similar visual stimuli. For this experiment the data is coming from 10 undergraduate participants. A commercial headband called “Muse headband” was used, which allows us to acquire EEG signals in real time while applying the d2 attention test. When evaluating the test, a relationship can be observed between the EEG signals taken during the application of the test, this indicates that it is possible to obtain a favorable result to measure the level of attention through this type of signals without the need of the D2 test application, this is thinking in future measurements can be done for future works. As a result, in comparison of the application of the D2 test and the EEG signals, a correlation was found between the scores of the hand-made test and the increase or decrease of brain activity. Frequently denoting the cerebral electrical activity remained according to the current state of the participants in their different stages of concentration and results calculated in the D2 test of attention.

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References

  1. García, J.: Psicología de la atención. Síntesis, Madrid (2008)

    Google Scholar 

  2. Cuesta, M., et al.: Psychometric properties of the d2 selective attention test in a sample of premature and bornatterm babies (2007)

    Google Scholar 

  3. Ballesteros, S., Manga, D.: The effects of variation of an irrelevant dimensión on same different visual judgments (1996)

    Google Scholar 

  4. Portellano, J., García, J.: Neuropsicología de la atención, las funciones ejecutivas y la memoria, Madrid (2014)

    Google Scholar 

  5. Pozuelos, J., Paz Alonso, P., Castillo, A., Fuentes, L., Rueda, R.: Development of attention networks and their interactions in child hood. Dev. Psychol 50, 2405 (2014)

    Google Scholar 

  6. Parasuranam, R.: Sustained attention in detection and discrimination. In: Parasuranam, R., Davies, D.R. (eds) Varieties of Attention (1984)

    Google Scholar 

  7. Ballesteros, S., Reales, J.M., García, B.: The effects of selective attention on perceptual priming and explicit recognition in children with attention deficit and normal children. Eur. J. Cogn. Psychol. 19, 607–627. (2007)

    Google Scholar 

  8. Osorio, A., Fay, S., Pouthas, V., Ballesteros, S.: Ageing affects brain activity in highly educated older adults: an ERP study using a wordstem priming task. Cortex 46, 522–534 (2010)

    Google Scholar 

  9. Goh, J.O., An, Y., Resnick, S.M.: Differential trajectories of agerelated changes in components of executive and memory processes. Psychol. Aging 27, 707 (2012)

    Google Scholar 

  10. Gispen, W.H.: Neuronal plasticity and function. Clin. Neuropharmacol. (1993)

    Google Scholar 

  11. Dobkin, B., Carmichael, T.: Principles of recovery after stroke (2005)

    Google Scholar 

  12. Sánchez de la Rosa, J.L.: Métodos para el procesamiento y análisis estadístico multivariante de señales multicanal: aplicación al estudio del EEG. España: Ph.D. thesis (1993)

    Google Scholar 

  13. Olejniczak, P.: Neurophysiological basis of EEG. In: Clinical Neurophysiology (2006)

    Google Scholar 

  14. Jasper, H.H.: The tentwenty electrode system of the International Federation. Electroencephalogr. Clin. Neurophysiol. 10, 370–375 (1958)

    Google Scholar 

  15. Homan, R.W., Herman, J., Purdy, P.: Cerebral location of international 1020 system electrode placement. Electroencephalogr. Clin. Neurophysiol. 66, 376–382 (1987)

    Google Scholar 

  16. Diederich, N.J., Stebbins, G., Schiltz, C., Goetz, C.G.: Are patients with Parkinson’s disease blind to blindsight? Brain 137(6), 1838–1849 (2014)

    Article  Google Scholar 

  17. González, M.T. G., et al.: Analysis of pupillary response after a stimulus of light to generate characteristical groups. In: 2017 International Conference on Electronics, Communications and Computers (CONIELECOMP), pp. 1–6. IEEE, February 2017

    Google Scholar 

  18. Gómez-Díaz, M.S., Gutiérrez-Hernández, D.A., Ornelas-Rodriguez, M., Zamudio, V., Mancilla-Espinosa, L.E.: Analysis of non-linear behaviour through signal segmentation. Int. J. Appl. Eng. Res. 13(10), 7267–7272 (2018)

    Google Scholar 

  19. Granados-Ruiz, J., et al.: Methodological approach for extraction of characteristics of biological signals. Compusoft 8(2), 3011–3020 (2019)

    Google Scholar 

  20. Santiago Montero, R., et al.: A study of highest perfusion zones as biometric representation. Computación y Sistemas 24(1) (2020)

    Google Scholar 

  21. Mendoza-Gámez, J.D., et al.: Recognition of characteristic patterns in human gait through computer vision techniques. Compusoft 7(12), 2950 (2018)

    Google Scholar 

  22. Vera, M.D.L.Á.A., et al.: Design of a smart device with fuzzy multi-criteria group decision making system for the elderly. In: 2021 17th International Conference on Intelligent Environments (IE), pp. 1–8. IEEE, June 2021

    Google Scholar 

  23. López, S.U., et al.: Identification of parameters for the study of diabetes from light reflex with controlled stimulus. In: 2017 International Conference on Electronics, Communications and Computers (CONIELECOMP), pp. 1–6. IEEE, February 2017

    Google Scholar 

  24. Martínez, M.I.R., Ramírez, C.L., Rodríguez, V.M.Z., Hernández, D.A.G., Soberanes, H.J.P., Domínguez, A.R.: Fuzzy-regulated assistant based on mental engagement: a multi-agent approach to elderly care. In: 2021 17th International Conference on Intelligent Environments (IE), pp. 1–8. IEEE, June 2021

    Google Scholar 

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Authors and Affiliations

  1. Universidad De La Salle Bajío, León, Guanajuato, Mexico

    David Asael Gutiérrez-Hernández, Miguel S. Gómez Díaz, Mario Iram García-Quezada & Daniel A. Olivares-Vera

  2. Tecnológico Nacional de México, Instituto Tecnológico de León, León, Guanajuato, Mexico

    Mario Díaz-Rodríguez

Authors
  1. David Asael Gutiérrez-Hernández
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  2. Miguel S. Gómez Díaz
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  3. Mario Iram García-Quezada
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  4. Daniel A. Olivares-Vera
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  5. Mario Díaz-Rodríguez
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Correspondence to David Asael Gutiérrez-Hernández .

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Editors and Affiliations

  1. Universidad Estatal Península de Santa Elena, La Libertad, Ecuador

    Teresa Guarda

  2. Universidade do Minho, Guimarães, Portugal

    Filipe Portela

  3. Universidade do Minho, Guimarães, Portugal

    Manuel Filipe Santos

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Gutiérrez-Hernández, D.A., Gómez Díaz, M.S., García-Quezada, M.I., Olivares-Vera, D.A., Díaz-Rodríguez, M. (2021). Comparison of Test D2 with Electroencephalographic Signals to Measure Attention and Concentration in University Students. In: Guarda, T., Portela, F., Santos, M.F. (eds) Advanced Research in Technologies, Information, Innovation and Sustainability. ARTIIS 2021. Communications in Computer and Information Science, vol 1485. Springer, Cham. https://doi.org/10.1007/978-3-030-90241-4_42

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  • DOI: https://doi.org/10.1007/978-3-030-90241-4_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90240-7

  • Online ISBN: 978-3-030-90241-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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