Heuristic Active Learning for the Prediction of Epileptic Seizures Using Single EEG Channel

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dc.contributor.authorMarques, Joao M.C.
dc.contributor.authorCerdeira, Hilda A. [UNESP]
dc.contributor.authorTanaka, Edgar
dc.contributor.authorVitor, Conrado De
dc.contributor.authorGomez, Paula
dc.contributor.institutionCidade Universitria
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2019-10-06T16:19:51Z
dc.date.available2019-10-06T16:19:51Z
dc.date.issued2019-01-21
dc.description.abstractPredicting epileptic seizure occurrence has long been a goal of the community surrounding it. Accurate prediction, however, is still elusive. This work presents a modified pipeline for the training of seizure prediction systems which aims to attenuate the effects of current data labeling strategies - and consequent data mislabeling of samples that heavily affect classifiers that are trained on it. This paper also presents a seizure prediction system trained following the proposed pipeline, which improved our system's performance by reducing its time-in-warning (TiW) by over 14%, while improving its prediction sensitivity to 72.4%, bringing its performance closer to the state-of-the-art performance (83.1% prediction sensitivity) for systems with similar TiW(41%) [1], while only requiring input from two scalp EEG electrodes-without making use of any variables external to the single EEG channels.en
dc.description.affiliationEpistemic Gomez Gomez Ltda. ME Cidade Universitria, Av. Professor Lineu Prestes
dc.description.affiliationEscola Politecnica - USP Universidade de Sao Paulo, Rua Professor Luciano Gualberto travessa 3, no 380
dc.description.affiliationInstituto de Fisica Teorica - UNESP Universidade Estadual Paulista, Rua Dr. Bento Teobaldo Ferraz 271
dc.description.affiliationUnespInstituto de Fisica Teorica - UNESP Universidade Estadual Paulista, Rua Dr. Bento Teobaldo Ferraz 271
dc.format.extent2628-2634
dc.identifierhttp://dx.doi.org/10.1109/BIBM.2018.8621506
dc.identifier.citationProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, p. 2628-2634.
dc.identifier.doi10.1109/BIBM.2018.8621506
dc.identifier.scopus2-s2.0-85062494953
dc.identifier.urihttp://hdl.handle.net/11449/188806
dc.language.isoeng
dc.relation.ispartofProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.titleHeuristic Active Learning for the Prediction of Epileptic Seizures Using Single EEG Channelen
dc.typeTrabalho apresentado em evento

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