An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
Version 2 2024-05-31, 09:33
Version 1 2024-04-17, 06:40
journal contribution
posted on 2024-05-31, 09:33 authored by A Shoeibi, P Moridian, M Khodatars, N Ghassemi, M Jafari, Roohallah Alizadehsani, Y Kong, JM Gorriz, J Ramírez, Abbas KhosraviAbbas Khosravi, S Nahavandi, UR AcharyaAn overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
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Journal
Computers in Biology and MedicineVolume
149Article number
106053Pagination
1-39Location
Amsterdam, The NetherlandsPublisher DOI
ISSN
0010-4825eISSN
1879-0534Language
engPublication classification
C1 Refereed article in a scholarly journalPublisher
ElsevierPublication URL
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BiologyCloud-computingComputer ScienceComputer Science, Interdisciplinary ApplicationsCONVOLUTIONAL NEURAL-NETWORKSDeep learningDetectionEEG SIGNALSEngineeringEngineering, BiomedicalEpileptic seizuresFEATURE-EXTRACTIONGENERALIZED EPILEPSYLife Sciences & BiomedicineLife Sciences & Biomedicine - Other TopicsMathematical & Computational BiologyNeuroimagingPredictionRehabilitationSCALP ELECTROENCEPHALOGRAMScience & TechnologySTATISTICAL-ANALYSISTechnologyTEMPORAL-LOBE EPILEPSYTHERAPEUTIC DEVICESTIME-SERIESWAVELET TRANSFORM
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