Expectation-Maximization Extreme Machine Learning Classifier for Epileptic Seizure Detection
Author:
Affiliation:
1. Aditya College of Engineering,Assistant Professor, Electronics and Communication Engineering,Surampalem
2. Kamaraj College of Engineering and Technology,Assistant Professor, Electronics and Communication Engineering,Madurai
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9702519/9702543/09702627.pdf?arnumber=9702627
Reference28 articles.
1. Detection of Pseudosinusoidal Epileptic Seizure Segments in the Neonatal EEG by Cascading a Rule-Based Algorithm With a Neural Network
2. An Ultra-Low Power Smart Headband for Real-Time Epileptic Seizure Detection
3. Epileptic Seizure Detection in Long-Term EEG Recordings by Using Wavelet-Based Directed Transfer Function
4. A Wavelet-Based Artifact Reduction From Scalp EEG for Epileptic Seizure Detection
5. Deep Multi-View Feature Learning for EEG-Based Epileptic Seizure Detection
Cited by 3 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. Detecting Epileptic Seizures from iEEG with Spectral Envelope Analysis and Deep CNNs;2023 Global Conference on Information Technologies and Communications (GCITC);2023-12-01
2. FPGA-Based System for Real-time Epileptic Seizure Detection using KNN Classifier;2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT);2023-04-05
3. Automatic Seizure Detection Using Logarithmic Euclidean-Gaussian Mixture Models (LE-GMMs) and Improved Deep Forest Learning;IEEE Journal of Biomedical and Health Informatics;2023-03
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