Litcius/Paper detail

A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals

Afshin Shoeibi, Navid Ghassemi, Roohallah Alizadehsani, Modjtaba Rouhani, Hossein Hosseini‐Nejad, Abbas Khosravi, Maryam Panahiazar, Saeid Nahavandi

2020Expert Systems with Applications148 citationsDOIOpen Access PDF

Topics & Concepts

AutoencoderComputer scienceElectroencephalographyArtificial intelligenceEpileptic seizurePattern recognition (psychology)EpilepsyConvolutional neural networkFeature extractionFeature (linguistics)Benchmark (surveying)Deep learningMachine learningNeurosciencePsychologyGeographyLinguisticsGeodesyPhilosophyEEG and Brain-Computer InterfacesBlind Source Separation TechniquesGaze Tracking and Assistive Technology
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals | Litcius