Epileptic Seizure Prediction with Recurrent Convolutional Neural Networks

Basit Öğe Kaydı
dc.authorid0000-0002-4093-1059en_US
dc.contributor.authorÖzcan, Ahmet Remzi
dc.contributor.authorErturk, Sarp
dc.date.accessioned2021-03-20T20:14:08Z
dc.date.available2021-03-20T20:14:08Z
dc.date.issued2017
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Mekatronik Mühendisliği Bölümüen_US
dc.description25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEYen_US
dc.description.abstractIn this paper, the use of recurrent convolutional neural networks for predicting epileptic seizures is proposed. Effective methods for predicting epileptic seizures need to be developed for the design of diagnostic and therapeutic techniques that will prevent or mitigate epileptic seizures. Studies show that epileptic seizures appear as a consequence of temporal and spatially developed processes in epileptic networks. In many studies using different linear and nonlinear methods of measurement, the result is that the measurements are differentiated before the epileptic seizure takes place. In this study, the features extracted by different methods from the multi-channel EEG signals are transformed into multi-spectral image series by projecting depending on the placement of the electrodes. Recurrent convolutional neural networks are trained with the obtained multi-spectral image sequences to reveal spatial and temporal correlations in multi-channel EEG signals before the epileptic seizure.en_US
dc.description.sponsorshipTurk Telekom, Arcelik A S, Aselsan, ARGENIT, HAVELSAN, NETAS, Adresgezgini, IEEE Turkey Sect, AVCR Informat Technologies, Cisco, i2i Syst, Integrated Syst & Syst Design, ENOVAS, FiGES Engn, MS Spektral, Istanbul Teknik Univen_US
dc.identifier.isbn978-1-5090-6494-6
dc.identifier.issn2165-0608
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1004
dc.identifier.wosWOS:000413813100457en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÖzcan, Ahmet Remzi
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2017 25Th Signal Processing And Communications Applications Conference (Siu)en_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectepileptic seizure predictionen_US
dc.subjectrecurrent neural networksen_US
dc.subjectconvolutional neural networksen_US
dc.titleEpileptic Seizure Prediction with Recurrent Convolutional Neural Networksen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Mekatronik Mühendisliği Bölümü Yayın Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu