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dc.contributor.authorMarateb, Hamid Reza
dc.contributor.authorMigliorelli Falcone, Carolina Mercedes
dc.contributor.authorBachiller Matarranz, Alejandro
dc.contributor.authorAzimi, Tayebe
dc.contributor.authorNezhad, Farzad Ziaie
dc.contributor.authorMansourian Gharakozlou, Marjan
dc.contributor.authorAlonso López, Joan Francesc
dc.contributor.authorAparicio, Javier
dc.contributor.authorSan Antonio Arce, María Victoria
dc.contributor.authorRomero Lafuente, Sergio
dc.contributor.authorMañanas Villanueva, Miguel Ángel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2021-02-09T09:22:06Z
dc.date.issued2020-09
dc.identifier.citationMarateb, H.R. [et al.]. Epileptic seizure prediction and onset zone localization using intracranial and scalp electroencephalographic and magnetoencephalographic signals. A: "Modelling and analysis of active biopotential signals in healthcare, volume 1". Londres: Institute of Physics (IOP), 2020, p. 4/1-4/20.
dc.identifier.isbn978-0-7503-3277-4
dc.identifier.urihttp://hdl.handle.net/2117/337117
dc.description.abstractIn this chapter, we discuss how intracranial or scalp electroencephalographic and magnetoencephalographic recordings could be used for epileptic seizure prediction and onset zone localization. The signal processing methods and the challenges of the state-of-the-art are discussed.
dc.language.isoeng
dc.publisherInstitute of Physics (IOP)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshBiomedical engineering
dc.titleEpileptic seizure prediction and onset zone localization using intracranial and scalp electroencephalographic and magnetoencephalographic signals
dc.typePart of book or chapter of book
dc.subject.lemacEnginyeria biomèdica
dc.contributor.groupUniversitat Politècnica de Catalunya. BIOART - BIOsignal Analysis for Rehabilitation and Therapy
dc.identifier.doi10.1088/978-0-7503-3279-8ch4
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://iopscience.iop.org/book/978-0-7503-3279-8
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac30467114
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-83989-R/ES/ANALISIS MULTIMODAL PARA LA EVALUACION Y REHABILITACION DE TRASTORNOS NEUROLOGICOS DISCAPACITANTES/
dc.date.lift10000-01-01
local.citation.authorMarateb, H.R.; Migliorelli, C.; Bachiller, A.; Azimi, T.; Nezhad, F.; Mansourian, M.; Alonso, J.F.; Aparicio, J.; San Antonio, M.; Romero, S.; Mañanas, M.A.
local.citation.pubplaceLondres
local.citation.publicationNameModelling and analysis of active biopotential signals in healthcare, volume 1
local.citation.startingPage4/1
local.citation.endingPage4/20


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