Epileptic Seizure Prediction with Recurrent Convolutional Neural Networks
dc.authorid | 0000-0002-4093-1059 | en_US |
dc.contributor.author | Özcan, Ahmet Remzi | |
dc.contributor.author | Erturk, Sarp | |
dc.date.accessioned | 2021-03-20T20:14:08Z | |
dc.date.available | 2021-03-20T20:14:08Z | |
dc.date.issued | 2017 | |
dc.department | BTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Mekatronik Mühendisliği Bölümü | en_US |
dc.description | 25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY | en_US |
dc.description.abstract | In 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.sponsorship | Turk 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 Univ | en_US |
dc.identifier.isbn | 978-1-5090-6494-6 | |
dc.identifier.issn | 2165-0608 | |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12885/1004 | |
dc.identifier.wos | WOS:000413813100457 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.institutionauthor | Özcan, Ahmet Remzi | |
dc.language.iso | tr | en_US |
dc.publisher | Ieee | en_US |
dc.relation.ispartof | 2017 25Th Signal Processing And Communications Applications Conference (Siu) | en_US |
dc.relation.ispartofseries | Signal Processing and Communications Applications Conference | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | epileptic seizure prediction | en_US |
dc.subject | recurrent neural networks | en_US |
dc.subject | convolutional neural networks | en_US |
dc.title | Epileptic Seizure Prediction with Recurrent Convolutional Neural Networks | en_US |
dc.type | Conference Object | en_US |