Deep Architectures for Spatio-Temporal Modeling: Automated Seizure Detection in Scalp EEGs
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8613701/8614025/08614143.pdf?arnumber=8614143
Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Effective Detection of Epileptic Seizures through EEG Signals Using Deep Learning Approaches;Machine Learning and Knowledge Extraction;2023-12-11
2. A Modified Gated Recurrent Unit Approach for Epileptic Electroencephalography Classification;Journal of Information and Communication Technology;2023-10-25
3. A robust seizure detection and prediction method with feature selection and spatio-temporal casual neural network model;Journal of Neural Engineering;2023-10-01
4. Feature Fusion of Time-frequency and Deep Learning Features for Epileptic Seizure Detection using EEG Signals;International Journal of Electrical and Electronics Research;2023-09-23
5. Cluster-based phase space density feature in multichannel scalp EEG for seizure prediction by deep learning;Biomedical Signal Processing and Control;2023-09
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