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dc.contributor.authorQuintero-Rincón, Antonio
dc.contributor.authorPrendes, Jorge
dc.contributor.authorD'Giano, Carlos
dc.contributor.authorMuro, Valeria
dc.date.accessioned2019-08-16T16:15:27Z
dc.date.available2019-08-16T16:15:27Z
dc.date.issued2017-12
dc.identifier.isbn978-153863397-7
dc.identifier.urihttp://ri.itba.edu.ar/handle/123456789/1718
dc.description.abstract"Pattern classification in electroencephalography (EEG) signals is an important problem in biomedical engineering since it enables the detection of brain activity, in particular the early detection of epileptic seizures. In this paper we propose a k-nearest neighbors classification for epileptic EEG signals based on an t-location-scale statistical representation to detect spike-and-waves. The proposed approach is demonstrated on a real dataset containing both spike-and-wave events and normal brain function signals, where our performance is evaluated in terms of classification accuracy, sensitivity and specificity."en
dc.language.isoenen
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/10.1109/URUCON.2017.8171869
dc.relationinfo:eu-repo/grantAgreement/ITBA/ITBACyT/DP41/2016/Ar. Ciudad Autónoma de Buenos Aires
dc.subjectELECTROENCELOGRAFIAes
dc.subjectEPILEPSIAes
dc.subjectCOMPENSACION DEL MOVIMIENTOes
dc.subjectPROCESAMIENTO DE SEÑALES DIGITALESes
dc.titleStudy on spike-and-wave detection in epileptic signals using T-location-scale distribution and the K-nearest neighbors classifieren
dc.typePonencias en Congresoses
dc.typeinfo:eu-repo/semantics/acceptedVersion
itba.description.filiationFil: Quintero-Rincón, Antonio. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiationFil: Prendes, Jorge. Université de Toulouse. Institut de Recherche en Informatique de Toulouse; Francia.
itba.description.filiationFil: Muro, Valeria. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina.
itba.description.filiationFil: D'Giano, Carlos. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia; Argentina.


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