… Here, the CHB-MIT database is used, and a seizure detection … A deep learning model of
seizure classification is presented … hierarchical Attention-based convolutional neural network for …

… to the explainability of the underlying attention mechanism of … deep learning approach, in
this work a novel LSTM based on … able to achieve our objective in classifying epileptic seizures. …

… and evaluate Epilepsy-Net, a collection of deep learning EEG … to detect epileptic seizures
against non-epileptic seizures without … a deep learning-based attention mechanism for epilepsy …

… Epilepsy is a chronic brain disease that causes seizures of disorientation and … , we
hypothesize that a machine learning model that embeds a temporal self-attention mechanism [11] …

… Different machine learning methods and computational … Seizure detection is often converted
into a problem of seizure… First, we introduce an attention mechanism over EEG channels. …

… In recent years, much research has been done on automatically detecting epileptic seizures…
multi-head self-attention mechanism neural network for use in EEG detection for epilepsy. To …

… of related studies on seizure detection and prediction using … each brain region in epileptic
seizures based on its contribution … In this study, we proposed a deep neural network including …

… , we propose a deep learning approach known as Deep dual-patch attention mechanism
(D 2 … Accurate detection and prediction of brain seizures was a major concern in the state-of-the-…

… classification and detection on epilepsy and the shortage of artificial detection make the …
many improved algorithms in deep learning. Among them, the attention mechanism enables the …

… that, depending on how the attention mechanism is applied … epileptic seizures in a multi-channel
EEG dataset. In [18], … kind of attention mechanism can enhance the identification of a …