Hybrid WCA–PSO Optimized Ensemble Extreme Learning Machine and Wavelet Transform for Detection and Classification of Epileptic Seizure from EEG Signals
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s41133-023-00059-z.pdf
Reference32 articles.
1. World Health Organization. Epilepsy;. http://www.who.int/mediacentre/ factsheets/ fs999/en/.
2. https://medalerthelp.org/blog/epilepsy-statistics/ February 21, 2021, By Dr. Nikola Djordjevic, MD.
3. Abbasi R, Esmaeilpour M (2017) Selecting statistical characteristics of brain signals to detect epileptic seizures using discrete wavelet transform and perceptron neural network. IJIMAI 4(5):33–38
4. Sriraam N, Raghu S, Tamanna K (2018) Automated epileptic seizures detection using multi-features and multilayer perceptron neural network. Brain Inf. 5:10. https://doi.org/10.1186/s40708-018-0088-8
5. Yuan S, Zhou W, Chen L (2018) Epileptic seizure prediction using diffusion distance and bayesian linear discriminate analysis on intracranial EEG. Int J Neural Syst 28(1):1750043. https://doi.org/10.1142/S0129065717500435
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