Deep-EEG: an optimized and robust framework and method for EEG-based diagnosis of epileptic seizure
Detecting brain disorders using deep learning methods has received much hype during the
last few years. Increased depth leads to more computational efficiency, accuracy, and …
last few years. Increased depth leads to more computational efficiency, accuracy, and …
Binary single-dimensional convolutional neural network for seizure prediction
Nowadays, several deep learning methods are proposed to tackle the challenge of epileptic
seizure prediction. However, these methods still cannot be implemented as part of …
seizure prediction. However, these methods still cannot be implemented as part of …
A generalizable model for seizure prediction based on deep learning using CNN-LSTM architecture
M Shahbazi, H Aghajan - 2018 IEEE Global Conference on …, 2018 - ieeexplore.ieee.org
This work proposes a novel deep learning-based model for prediction of epileptic seizures
using multichannel EEG signals. Multichannel images are first constructed by applying short …
using multichannel EEG signals. Multichannel images are first constructed by applying short …