IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v44y2011i12p1054-1062.html
   My bibliography  Save this article

Investigation of mental fatigue through EEG signal processing based on nonlinear analysis: Symbolic dynamics

Author

Listed:
  • Azarnoosh, Mahdi
  • Motie Nasrabadi, Ali
  • Mohammadi, Mohammad Reza
  • Firoozabadi, Mohammad

Abstract

To investigate nonlinear analysis of attention physiological indices this study used a simple repetitive attentive task in four consecutive trials that resulted in mental fatigue. Traditional performance indices, such as reaction time, error responses, and EEG signals, were simultaneously recorded to evaluate differences between the trials. Performance indices analysis demonstrated that a selected task leads to mental fatigue. In addition, the study aimed to find a method to determine mental fatigue based on nonlinear analysis of EEG signals. Symbolic dynamics was selected as a qualitative method used to extract some quantitative qualifiers such as entropy. This method was executed on the reaction time of responses, and EEG signals to distinguish mental states. The results revealed that nonlinear analysis of reaction time, and EEG signals of the frontal and central lobes of the brain could differentiate between attention, and occurrence of mental fatigue in trials. In addition, the trend of entropy variation displayed a reduction in the complexity of mental activity as fatigue occurred.

Suggested Citation

  • Azarnoosh, Mahdi & Motie Nasrabadi, Ali & Mohammadi, Mohammad Reza & Firoozabadi, Mohammad, 2011. "Investigation of mental fatigue through EEG signal processing based on nonlinear analysis: Symbolic dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 44(12), pages 1054-1062.
    • Handle: RePEc:eee:chsofr:v:44:y:2011:i:12:p:1054-1062
    DOI: 10.1016/j.chaos.2011.08.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077911001767
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2011.08.012?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Brida, Juan G. & Punzo, Lionello F., 2003. "Symbolic time series analysis and dynamic regimes," Structural Change and Economic Dynamics, Elsevier, vol. 14(2), pages 159-183, June.
    2. Matilla-Garcia, Mariano, 2007. "A non-parametric test for independence based on symbolic dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 31(12), pages 3889-3903, December.
    3. Grigolini, Paolo & Aquino, Gerardo & Bologna, Mauro & Luković, Mirko & West, Bruce J., 2009. "A theory of 1/f noise in human cognition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(19), pages 4192-4204.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xin Xu & Jie Tang & Tingting Xu & Maokun Lin, 2023. "Mental Fatigue Degree Recognition Based on Relative Band Power and Fuzzy Entropy of EEG," IJERPH, MDPI, vol. 20(2), pages 1-13, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Miguel Henry & George Judge, 2019. "Permutation Entropy and Information Recovery in Nonlinear Dynamic Economic Time Series," Econometrics, MDPI, vol. 7(1), pages 1-16, March.
    2. Elsinger, Helmut, 2013. "Comment on: A non-parametric spatial independence test using symbolic entropy," Regional Science and Urban Economics, Elsevier, vol. 43(5), pages 838-840.
    3. Juan Gabriel Brida & Juan Pereyra & Martín Puchet Anyul & Wiston Adrián Risso, 2011. "Regímenes de desempeño económico y dualismo estructural en la dinámica de las entidades federativas de México, 1970 - 2006," Documentos de Trabajo (working papers) 1011, Department of Economics - dECON.
    4. Bibiana Lanzilotta Mernies, 2016. "Taxonomia y Dinamica de las Expectativas Economicas de los Empresarios Industriales en Uruguay. Un Analisis de Conglomerados," Revista de Economía del Rosario, Universidad del Rosario, vol. 17(2), pages 229-256, February.
    5. Juan Gabriel Brida & Nicolás Garrido & Silvia London, 2013. "Estudio del desempeno económico regional: el caso argentino," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, December.
    6. Bershadskii, A. & Ikegaya, Y., 2011. "Chaotic neuron clock," Chaos, Solitons & Fractals, Elsevier, vol. 44(4), pages 342-347.
    7. Zunino, Luciano & Zanin, Massimiliano & Tabak, Benjamin M. & Pérez, Darío G. & Rosso, Osvaldo A., 2009. "Forbidden patterns, permutation entropy and stock market inefficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(14), pages 2854-2864.
    8. Brida, Juan Gabriel & Carrera, Edgar J. Sanchez & Segarra, Verónica, 2020. "Clustering and regime dynamics for economic growth and income inequality," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 99-108.
    9. Tostes Lamonica, Marcos & Feijó, Carmem Aparecida & Punzo, Lionello Franco, 2021. "The growth trajectories of Argentina, Brazil, Chile and Mexico: a comparative view through the framework space lens," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    10. West, B.J. & Turalska, M., 2013. "Network of echoes," Chaos, Solitons & Fractals, Elsevier, vol. 55(C), pages 109-119.
    11. Camacho, Maximo & Romeu, Andres & Ruiz-Marin, Manuel, 2021. "Symbolic transfer entropy test for causality in longitudinal data," Economic Modelling, Elsevier, vol. 94(C), pages 649-661.
    12. Emiliano Alvarez & Juan Gabriel Brida & Gaston Cayssials & Erick Limas, 2022. "A dynamical explanation about price formation in illegal markets," Economics Bulletin, AccessEcon, vol. 42(2), pages 971-978.
    13. Werner, Gerhard, 2013. "Consciousness viewed in the framework of brain phase space dynamics, criticality, and the Renormalization Group," Chaos, Solitons & Fractals, Elsevier, vol. 55(C), pages 3-12.
    14. Wang, Xin & Sun, Mei, 2021. "A novel prediction model of multi-layer symbolic pattern network: Based on causation entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 575(C).
    15. West, B.J. & Grigolini, P., 2010. "Habituation and 1/f-noise," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5706-5718.
    16. Helmut Elsinger, 2010. "Independence Tests based on Symbolic Dynamics," Working Papers 165, Oesterreichische Nationalbank (Austrian Central Bank).
    17. Andrey Shternshis & Piero Mazzarisi, 2024. "Variance of entropy for testing time-varying regimes with an application to meme stocks," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 47(1), pages 215-258, June.
    18. Brida, Juan Gabriel & London, Silvia & Risso, Wilson Adrián, 2010. "Economic performance clubs in the Americas: 1955-2003," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    19. West, B.J. & Grigolini, P., 2010. "A psychophysical model of decision making," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3580-3587.
    20. Punzo, Lionello F., 2006. "Towards a disequilibrium theory of structural dynamics: Goodwin's contribution," Structural Change and Economic Dynamics, Elsevier, vol. 17(4), pages 382-399, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:44:y:2011:i:12:p:1054-1062. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.