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dc.contributor.authorRamos Cózar, Julián
dc.contributor.authorZeljković, Vesna
dc.contributor.authorGonzález-Linares, José M.
dc.contributor.authorGuil, Nicolás
dc.contributor.authorBojic, Milena
dc.contributor.authorValev, Ventzeslav
dc.date.accessioned2014-07-29T11:17:05Z
dc.date.available2014-07-29T11:17:05Z
dc.date.created2014
dc.date.issued2014-07-29
dc.identifier.urihttp://hdl.handle.net/10630/7950
dc.description.abstractOver 50 million persons worldwide are affected by epilepsy. Epilepsy is a brain disorder known for sudden, unexpected transitions from normal to pathological behavioral states called epileptic seizures. Epilepsy poses a significant burden to society due to associated healthcare cost to treat and control the unpredictable and spontaneous occurrence of seizures. There is a need for a quick screening process that could help neurologist diagnose and determine the patient’s treatment. Electroencephalogram has been traditionally used to diagnose patients by evaluating those brain functions that may correspond to epilepsy. The objective of this paper is to implement a novel detection technique of pre-ictal state that announces epileptic seizures from the online EEG data analysis. Unlike most published methods, that are aimed to distinguish only the normal from the epilepsy state, in this work the pre-ictal state is introduced as a new patient status, thus differentiating three possible states: normal (healthy), pre-ictal and epileptic seizure. In this manner, the patient should get timely alert about the possible seizure attack so that she/he can stop with its activities and take safety precautions.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. This work is partially supported by the Ministry of Education and Science of Spain under contract TIN2010-16144 and Junta de Andalucía under contract TIC-1692.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectEpilepsia - Diagnóstico - Aplicaciones informáticases_ES
dc.subject.otherEEG signales_ES
dc.subject.otherEpilepsyes_ES
dc.subject.otherPre-ictales_ES
dc.subject.otherClassificationes_ES
dc.subject.otherWavelet Transformes_ES
dc.subject.otherSVMes_ES
dc.titlePre-Ictal Phase Detection with SVMses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroE.T.S.I. Informáticaes_ES
dc.relation.eventtitle2014 International Conference on High Performance Computing & Simulation (HPCS 2014)es_ES
dc.relation.eventplaceBolonia (Italia)es_ES
dc.relation.eventdateJuly 2014es_ES


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