Epilepsy Seizure Detection via Optimized Kernel Extreme Learning Machine Method
Author:
Affiliation:
1. Shanghai University,School of Mechatronic Engineering and Automation,Shang Hai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10248366/10248210/10248557.pdf?arnumber=10248557
Reference6 articles.
1. Analysis of Epileptic Activity Based on Brain Mapping of EEG Adaptive Time-Frequency Decomposition
2. Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications;hadeethi;Expert Systems with Applications,2020
3. Deep Convolutional Neural Network-Based Epileptic Electroencephalogram (EEG) Signal Classification
4. Classification of seizure and non-seizure EEG signals based on EMD-TQWT method
5. Subjects identification using EEG-recorded imagined speech
Cited by 1 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. Cross-Subject Seizure Detection via Unsupervised Domain-Adaptation;International Journal of Neural Systems;2024-08-09
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