109045 20250121144847.0 doi 10.3390/math9111311 sideral 125300 ART-2021-125300 eng Sebastián, Mª Victoria (orcid)0000-0002-0477-835X Fractal dimension as quantifier of EEG activity in driving simulation 2021 Access copy available to the general public Unrestricted Dynamical systems and fractal theory methodologies have been proved useful for the modeling and analysis of experimental datasets and, in particular, for electroencephalographic signals. The computation of the fractal dimension of approximation curves in the plane enables the assignment of numerical values to bioelectric recordings in order to discriminate between different states of the observed system. The procedure does not require the stationarity of the signals nor extremely long segments of data. In previous works, we checked that this parameter is a good index for brain activity. In this paper, we consider this measurement in order to quantify the geometric complexity of the brain waves in states of rest and during vehicle driving simulation in different scenarios. This work presents evidence that the fractal dimension allows the detection of the brain bioelectric changes produced in the areas that carry out the different driving simulation tasks, increasing with their complexity. info:eu-repo/grantAgreement/ES/UZ/CUD2019-04 info:eu-repo/grantAgreement/ES/UZ/CUD2020-13 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.592 2021 MATHEMATICS 21 / 333 = 0.063 2021 Q1 T1 0.538 2021 Engineering (miscellaneous) 2021 Q2 Computer Science (miscellaneous) 2021 Q2 2.9 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Navascués, Mª Antonia Universidad de Zaragoza (orcid)0000-0003-4847-0493 Otal, Antonio Universidad de Zaragoza (orcid)0000-0002-1567-7159 Ruiz, Carlos (orcid)0000-0002-8885-7492 Idiazábal, Mª Ángeles Di Stasi, Leandro L. Díaz-Piedra, Carolina 2005 595 Universidad de Zaragoza Dpto. Matemática Aplicada Área Matemática Aplicada 9, 11 (2021), 1311 [10 pp.] Mathematics (Basel) Mathematics 2227-7390 2764779 http://zaguan.unizar.es/record/109045/files/texto_completo.pdf Versión publicada 2735286 http://zaguan.unizar.es/record/109045/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:109045 articulos driver 2025-01-21-14:47:45 ARTICLE