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...

Полное описание

Библиографические подробности

Главные авторы:	Ziaullah Khan, Aakanksha Dayal, Hee-Cheol Kim
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2025-01-01
Серии:	IEEE Access
Предметы:	EEG signal processing 3D convolutional neural network (3D-CNN) biomedical signal analysis seizure detection self-attention mechanism short-time Fourier transform
Online-ссылка:	https://ieeexplore.ieee.org/document/11017574/
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