ARIMA processes for EEG modeling

dc.contributor.advisorVives i Santa Eulàlia, Josep, 1963-
dc.contributor.advisorCos Aguilera, Ignasi
dc.contributor.authorVayá Abad, Gabriel
dc.date.accessioned2023-11-07T11:11:28Z
dc.date.available2023-11-07T11:11:28Z
dc.date.issued2023-06-11
dc.descriptionTreballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2023, Director: Josep Vives i Santa Eulàlia i Ignasi Cos Aguileraca
dc.description.abstract[en] The main goal of this work is to find a suitable model for EEGs. This model has to be appropriate for the performing of classification of subjects based on the level of social pressure, and has to preserve time variability.ca
dc.format.extent55 p.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2445/203545
dc.language.isoengca
dc.rightscc-by-nc-nd (c) Gabriel Vayá Abad, 2023
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceTreballs Finals de Grau (TFG) - Matemàtiques
dc.subject.classificationAnàlisi de sèries temporalsca
dc.subject.classificationElectroencefalografia
dc.subject.classificationAnàlisi multivariableca
dc.subject.classificationTreballs de fi de grauca
dc.subject.otherTime-series analysisen
dc.subject.otherElectroencephalography
dc.subject.otherMultivariate analysisen
dc.subject.otherBachelor's thesesen
dc.titleARIMA processes for EEG modelingca
dc.typeinfo:eu-repo/semantics/bachelorThesisca

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