Epilepsy Prediction and Detection Using Attention-CssCDBN with Dual-Task Learning

Epilepsy Prediction and Detection Using Attention-CssCDBN with Dual-Task Learning

Epilepsy is a group of neurological disorders characterized by epileptic seizures, and it affects tens of millions of people worldwide. Currently, the most effective diagnostic method employs the monitoring of brain activity through electroencephalogram (EEG). However, it is critical to predict epil...

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Bibliographic Details
Main Authors: Weizheng Qiao, Xiaojun Bi, Lu Han, Yulin Zhang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
epilepsy prediction and detection
electroencephalograms
deep learning
convolutional deep belief network
Transformer
dual-task learning
Online Access:https://www.mdpi.com/1424-8220/25/1/51
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