Adaptive Hybrid Optimization-Based Deep Learning for Epileptic Seizure Prediction
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6586-1_38
Reference21 articles.
1. Tetzlaff R, Senger V (2012) The seizure prediction problem in epilepsy: cellular nonlinear networks. IEEE Circ Syst Mag 12(4):8–20
2. Thurman DJ, Beghi E, Begley CE, Berg AT, Buchhalter JR, Ding D, Hesdorffer DC, Hauser WA, Kazis L, Kobau R, Kroner B (2011) Standards for epidemiologic studies and surveillance of epilepsy. Epilepsia 52:2–26
3. Ibrahim SW, Djemal R, Alsuwailem A, Gannouni S (2017) Electroencephalography (EEG)-based epileptic seizure prediction using entropy and K-nearest neighbor (KNN). Commun Sci Technol 2(1)
4. Päivinen N, Lammi S, Pitkänen A, Nissinen J, Penttonen M, Grönfors T (2005) Epileptic seizure detection: a nonlinear viewpoint. Comput Methods Prog Biomed 79(2):151–159
5. Hussein R, Palangi H, Rabab Ward K, Wang ZJ (2019) Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals. Clin Neurophysiol 130(1):25–37
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