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

• Main Authors: Nazanin Nemati, Saeed Meshgini, Ali Farzamnia
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: 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

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...