Residual and bidirectional LSTM for epileptic seizure detection

Residual and bidirectional LSTM for epileptic seizure detection

Electroencephalogram (EEG) plays a pivotal role in the detection and analysis of epileptic seizures, which affects over 70 million people in the world. Nonetheless, the visual interpretation of EEG signals for epilepsy detection is laborious and time-consuming. To tackle this open challenge, we intr...

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Bibliographic Details
Main Authors: Wei Zhao, Wen-Feng Wang, Lalit Mohan Patnaik, Bao-Can Zhang, Su-Jun Weng, Shi-Xiao Xiao, De-Zhi Wei, Hai-Feng Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-06-01
Series:Frontiers in Computational Neuroscience
Subjects:
EEG
epilepsy
epileptic seizure detection
ResNet
LSTM
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2024.1415967/full

Internet

https://www.frontiersin.org/articles/10.3389/fncom.2024.1415967/full

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