The inclusion of Attention Mechanism (AT) has proven promising in epileptic detection, excelling at capturing temporal inter- dependencies in time-series data [ ...
1: Cross-site generalization using attention layer for epileptic seizure detection · 2: Exploring Network Topology-Based Methods to Differentiate Healthy and ...
In this study, a novel data-driven model based on DL, incorporating a self-attention mechanism (SAT), is proposed.
Jun 25, 2024 · Cross-site generalization using attention layer for epileptic seizure detection. Tala Abdallah , Nisrine Jrad (1, 2) , Fahed Abdallah , Anne ...
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In automatic seizure detection tasks, the main challenge lies in the cross-patient setting, which focuses on the generalization ability for unseen patients ...
This paper presents a cross-patient epilepsy detection method utilizing a multi-head self-attention mechanism.
In this study, an epileptic seizure prediction method is proposed based on attention augmented convolutional neural network (CNN), marking its novel application ...
A self-attention model for cross-subject seizure detection. Article. Sep 2023 ... A review of epileptic seizure detection using machine learning classifiers.
Cross-Site Generalization Using Attention Layer for Epileptic Seizure Detection ... seizure detection and is effective in detecting epileptic seizure is proposed.
We present three simple Convolutional Neural Network (CNN) architectures for seizure detection that are capable of generalizing across sites. The convolutional ...
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