A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals.
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| Title: | A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals. |
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| Authors: | Shoeibi, Afshin1, afshin.shoeibi@gmail.com, Ghassemi, Navid1,2, navidghassemi@mail.um.ac.ir, Alizadehsani, Roohallah3, ralizadehsani@deakin.edu.au, Rouhani, Modjtaba1,2, rouhani@um.ac.ir, Hosseini-Nejad, Hossein1, hosseini_nezhad@kntu.ac.ir, Khosravi, Abbas3, abbas.khosravi@deakin.edu.au, Panahiazar, Maryam4, Maryam.Panahiazar@ucsf.edu, Nahavandi, Saeid3, saeid.nahavandi@deakin.edu.au |
| Source: | Expert Systems with Applications; Jan2021, Vol. 163, pN.PAG-N.PAG, 1p |
| Database: | Applied Science & Technology Source |
| ISSN: | 09574174 |
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| DOI: | 10.1016/j.eswa.2020.113788 |
