Characterization of Electroencephalogram Obtained During the Resolution of Mathematical Operations Using Recurrence Quantification Analysis

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dc.contributor.authorMendes, A. P.
dc.contributor.authorJarola, G. M. [UNESP]
dc.contributor.authorOliveira, L. M.A. [UNESP]
dc.contributor.authorGerhardt, G. J.L.
dc.contributor.authorRybarczyk-Filho, J. L. [UNESP]
dc.contributor.authorSantos, L. dos
dc.contributor.institutionUniversidade Brasil
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade de Caxias do Sul
dc.date.accessioned2023-03-01T20:37:07Z
dc.date.available2023-03-01T20:37:07Z
dc.date.issued2022-01-01
dc.description.abstractThis work aims to apply recurrence quantification analysis to characterize electroencephalogram signals, in resting and active state situations involving mathematical operation resolution. The best values of the incorporation parameters (delay time, embedding dimension, and threshold) are investigated to obtain the best ranking results. The measures of the recurrence quantification analysis used are recurrence rate, determinism, overage length of diagonal structures, Shannon entropy, laminarity, and maximum length of vertical structures. To compare between resting and active state, the Mann-Whitney test was performed. The results demonstrate that the resting state is predominant in the alpha and theta experiments. Statistical differences were observed in the comparisons between resting and active state for alpha and theta experiments, active state alpha and active state theta experiments and resting and active state for theta experiments.en
dc.description.affiliationInstituto Científico e Tecnológico Universidade Brasil, Rua Carolina Fonseca, 235, Itaquera
dc.description.affiliationDepto. Física e Biofísica Instituto de Biociências de Botucatu Universidade Estadual Paulista “Júlio de Mesquita Filho” UNESP
dc.description.affiliationCentro de Ciências Exatas e Tecnologia Universidade de Caxias do Sul
dc.description.affiliationUnespDepto. Física e Biofísica Instituto de Biociências de Botucatu Universidade Estadual Paulista “Júlio de Mesquita Filho” UNESP
dc.format.extent1719-1725
dc.identifierhttp://dx.doi.org/10.1007/978-3-030-70601-2_251
dc.identifier.citationIFMBE Proceedings, v. 83, p. 1719-1725.
dc.identifier.doi10.1007/978-3-030-70601-2_251
dc.identifier.issn1433-9277
dc.identifier.issn1680-0737
dc.identifier.scopus2-s2.0-85128920356
dc.identifier.urihttp://hdl.handle.net/11449/240888
dc.language.isoeng
dc.relation.ispartofIFMBE Proceedings
dc.sourceScopus
dc.subjectEEG
dc.subjectNonlinear analysis
dc.subjectRecurrence quantification analysis
dc.subjectResolution of mathematical operation
dc.titleCharacterization of Electroencephalogram Obtained During the Resolution of Mathematical Operations Using Recurrence Quantification Analysisen
dc.typeTrabalho apresentado em evento

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Artigos - Física e Biofísica - IBB