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...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Ziaullah Khan, Aakanksha Dayal, Hee-Cheol Kim
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	EEG signal processing 3D convolutional neural network (3D-CNN) biomedical signal analysis seizure detection self-attention mechanism short-time Fourier transform
Online Access:	https://ieeexplore.ieee.org/document/11017574/