EEG seizure detection: concepts, techniques, challenges, and future trends
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15052-2.pdf
Reference150 articles.
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2. Abdelhameed A, Bayoumi M (2021) A deep learning approach for automatic seizure detection in children with epilepsy. Front Comput Neurosci 15:29. https://doi.org/10.3389/fncom.2021.650050
3. Abualsaud K, Mohamed A, Khattab T, Yaacoub E, Hasna M, Guizani M (2018) Classification for imperfect EEG epileptic seizure in IoT applications: a comparative study. 2018 14th Int. Wirel. Commun. Mob. Comput. Conf. IWCMC 2018, pp 364–369. https://doi.org/10.1109/IWCMC.2018.8450279
4. Acharya UR, Fujita H, Sudarshan VK, Bhat S, Koh JEW (2015) Application of entropies for automated diagnosis of epilepsy using EEG signals: a review. Knowl-Based Syst 88:85–96. https://doi.org/10.1016/j.knosys.2015.08.004
5. Acharya UR et al (2019) Characterization of focal EEG signals: a review. Futur Gener Comput Syst 91:290–299. https://doi.org/10.1016/j.future.2018.08.044
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