EEG-based epileptic seizure detection using binary dragonfly algorithm and deep neural network

Electroencephalogram (EEG) is one of the most common methods used for seizure detection as it records the electrical activity of the brain. Symmetry and asymmetry of EEG signals can be used as indicators of epileptic seizures. Normally, EEG signals are symmetrical in nature, with similar patterns on...

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Bibliographic Details
Published in:	Scientific reports Vol. 13; no. 1; pp. 17710 - 16
Main Authors:	Yogarajan, G., Alsubaie, Najah, Rajasekaran, G., Revathi, T., Alqahtani, Mohammed S., Abbas, Mohamed, Alshahrani, Madshush M., Soufiene, Ben Othman
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 18.10.2023 Nature Publishing Group Nature Portfolio
Subjects:	639/4077 692/699 692/700 Algorithms Asymmetry Convulsions & seizures EEG Electroencephalography Epilepsy Hemispheric laterality Humanities and Social Sciences multidisciplinary Neural networks Science Science (multidisciplinary) Seizures Symmetry Wavelet transforms
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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