Intracranial Epileptic Seizures Detection Based on an Optimized Neural Network Classifier-Reference-Cited by-同舟云学术

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Intracranial Epileptic Seizures Detection Based on an Optimized Neural Network Classifier

Published:2021-05 Issue:3 Volume:30 Page:419-425
ISSN:1022-4653
Container-title:Chinese Journal of Electronics
language:en
Short-container-title:Chin. j. electron.

Author:

Chen GONG¹²³,Jiahui LIU¹,Yunyun NIU¹

Affiliation:

1. School of Information EngineeringChina University of Geosciences in BeijingBeijing100083China

2. Institute of AutomationChinese Academy of SciencesBeijing100190China

3. School of Artificial IntelligenceUniversity of Chinese Academy of SciencesBeijing100049China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

China Scholarship Council

Publisher

Institution of Engineering and Technology (IET)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cje.2021.03.005

Reference32 articles.

1. Epileptic Seizures and Epilepsy: Definitions Proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE)

2. Adult epilepsy

3. Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state

4. Spectral exponent characteristics of intracranial EEGs for epileptic seizure classification

5. “Automated detection of postictal generalized EEG suppression”;Theeranaew W;IEEE Transactions on Biomedical Engineering,2017

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1. Landscape of epilepsy research: Analysis and future trajectory;Interdisciplinary Neurosurgery;2024-06

2. Design of High Performance MXene/Oxide Structure Memristors for Image Recognition Applications;Chinese Journal of Electronics;2024-03

3. A Hybrid CNN-Bi-LSTM Model with Multi-Class Feature Fusion for Accurate Epilepsy Seizure Detection;2023

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