Semi-Supervised Seizure Prediction Model Combining Generative Adversarial Networks and Long Short-Term Memory Networks

Semi-Supervised Seizure Prediction Model Combining Generative Adversarial Networks and Long Short-Term Memory Networks

In recent years, significant progress has been made in seizure prediction using machine learning methods. However, fully supervised learning methods often rely on a large amount of labeled data, which can be costly and time-consuming. Unsupervised learning overcomes these drawbacks but can suffer fr...

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Bibliographic Details
Main Authors: Xiaoli Yang, Lipei Liu, Zhenwei Li, Yuxin Xia, Zhipeng Fan, Jiayi Zhou
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
EEG signals
seizure prediction
generative adversarial networks
long short-term memory network
Online Access:https://www.mdpi.com/2076-3417/13/21/11631

Internet

https://www.mdpi.com/2076-3417/13/21/11631

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