An efficient automated technique for epilepsy seizure detection using EEG signals-Reference-Cited by-同舟云学术

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An efficient automated technique for epilepsy seizure detection using EEG signals

Published:2017-10 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)
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Author:

Lasefr Zakareya,Ayyalasomayajula Sai Shiva V N R,Elleithy Khaled

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8234833/8248967/08248991.pdf?arnumber=8248991

Cited by 6 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. Automated Classification of Epileptic Seizures from EEG Signals Using Deep Neural Network;2023 International Conference on Next Generation Electronics (NEleX);2023-12-14

2. An Epileptic Seizure Detection Technique Using EEG Signals with Mobile Application Development;Applied Sciences;2023-08-24

3. Implementation of K nearest neighbour algorithm to minimize the false detection rate of epilepsy using novel classification approach in comparison with artificial neural network algorithm;AIP Conference Proceedings;2023

4. An automated approach for electroencephalography-based seizure detection using machine learning algorithms;International Journal of Intelligent Engineering Informatics;2022

5. New Automatic EEG Epileptic Seizure Detection Approach Using Sliding Discrete Fourier Transform and Machine Learning Techniques;2021 2nd Asia Conference on Computers and Communications (ACCC);2021-09

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