An Attention-Enhanced 3D-CNN Framework for Spectrogram-Based EEG Analysis in Epilepsy Detection

Epilepsy is a widespread neurological disorder affecting approximately 50 million individuals globally, with a disproportionately high burden in low- and middle-income countries. It is characterized by recurrent seizures caused by sudden and uncontrolled electrical discharges in brain cells, often l...

詳細記述

書誌詳細

主要な著者:	Ziaullah Khan, Aakanksha Dayal, Hee-Cheol Kim
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2025-01-01
シリーズ:	IEEE Access
主題:	EEG signal processing 3D convolutional neural network (3D-CNN) biomedical signal analysis seizure detection self-attention mechanism short-time Fourier transform
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11017574/
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!