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

Shoeibi, Afshin, Ghassemi, Navid, Alizadehsani, Roohallah, Rouhani, Modjtaba, Hosseini-Nejad, Hossein, Khosravi, Abbas, Panahiazar, Maryam and Nahavandi, Saeid 2021, A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals, Expert Systems with Applications, vol. 163, pp. 113788-113788, doi: 10.1016/j.eswa.2020.113788.

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Title A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals
Author(s) Shoeibi, Afshin
Ghassemi, Navid
Alizadehsani, Roohallah
Rouhani, Modjtaba
Hosseini-Nejad, Hossein
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Panahiazar, Maryam
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Journal name Expert Systems with Applications
Volume number 163
Article ID 113788
Start page 113788
End page 113788
Total pages 16
Publisher Elsevier
Place of publication Oxford, Eng.
Publication date 2021-01-01
ISSN 0957-4174
Keyword(s) Epileptic seizures
Electroencephalography (EEG)
Convolutional autoencoder
Feature extraction
Computational complexity
Language eng
DOI 10.1016/j.eswa.2020.113788
Indigenous content off
Field of Research 01 Mathematical Sciences
08 Information and Computing Sciences
09 Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2020, Crown Copyright
Persistent URL http://hdl.handle.net/10536/DRO/DU:30141920

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