A Hybrid Scheme Using PCA and ICA Based Statistical Feature for Epileptic Seizure Recognition from EEG Signal-Reference-Cited by-同舟云学术

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A Hybrid Scheme Using PCA and ICA Based Statistical Feature for Epileptic Seizure Recognition from EEG Signal

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR)
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Author:

Matin Abdul,Bhuiyan Rasel Ahmed,Shafi Shafiur Raihan,Kundu Amit Kumar,Islam Muhammad Usama

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8849868/8858505/08858573.pdf?arnumber=8858573

Cited by 11 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. A new feature selection approach with binary exponential henry gas solubility optimization and hybrid data transformation methods;MethodsX;2024-06

2. Combining EEG Features and Convolutional Autoencoder for Neonatal Seizure Detection;International Journal of Neural Systems;2024-05-14

3. A machine learning approach for real-time cortical state estimation;Journal of Neural Engineering;2024-02-01

4. Integrating Machine Learning with Biomedical Signal Processing and Systems Analysis: An Applications-based Course;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

5. A Methodological Review on EEG Data Reduction in Edge/Fog computing-based IoMT networks;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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