A robust framework epileptic seizures classification based on lightweight structure deep convolutional neural network and wavelet decomposition

Nowadays scientific evidence suggests that epileptic seizures can appear in the brain signals minutes and even hours prior to their occurrence. Advances in predicting epileptic seizures can promise a robust model in which seizures and irreparable injuries at the time of occurrence can be possible. M...

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書誌詳細
主要な著者: Nazanin Nemati, Saeed Meshgini, Ali Farzamnia
フォーマット: Conference or Workshop Item
言語:English
English
出版事項: IEEE 2020
主題:
オンライン・アクセス:https://eprints.ums.edu.my/id/eprint/28946/1/A%20robust%20framework%20epileptic%20seizures%20classification%20based%20on%20lightweight%20structure%20deep%20convolutional%20neural%20network%20and%20wavelet%20decomposition%20FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/28946/3/A%20robust%20framework%20epileptic%20seizures%20classification%20based%20on%20lightweight%20structure%20deep%20convolutional%20neural%20network%20and%20wavelet%20decomposition%20ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/28946/
https://ieeexplore.ieee.org/document/9260797
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