MNL-Network: A Multi-Scale Non-local Network for Epilepsy Detection From EEG Signals-Reference-Cited by-同舟云学术

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MNL-Network: A Multi-Scale Non-local Network for Epilepsy Detection From EEG Signals

Published:2020-11-17 Issue: Volume:14 Page:
ISSN:1662-453X
Container-title:Frontiers in Neuroscience
language:
Short-container-title:Front. Neurosci.

Author:

Zhang Guokai,Yang Le,Li Boyang,Lu Yiwen,Liu Qinyuan,Zhao Wei,Ren Tianhe,Zhou Junsheng,Wang Shui-Hua,Che Wenliang

Funder

Fundamental Research Funds for the Central Universities

Publisher

Frontiers Media SA

Subject

General Neuroscience

Reference35 articles.

1. Tunable-q wavelet transform based multiscale entropy measure for automated classification of epileptic EEG signals;Abhijit;Appl. Sci,2017

2. Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals;Acharya;Comput. Biol. Med,2017

3. Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state;Andrzejak;Phys. Rev. E,2001

4. A tunable-q wavelet transform and quadruple symmetric pattern based EEG signal classification method;Aydemir;Med. Hypothes,2020

5. Clinical electroencephalography: L. g. kiloh, a. j. mccomas, j. w. osselton, butterworth, third edition, london 1972;Bancaud;Neuropsychologia,1973

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1. Optimization of epilepsy detection method based on dynamic EEG channel screening;Neural Networks;2024-04

2. RIHANet: A Residual-based Inception with Hybrid-Attention Network for Seizure Detection using EEG signals;Computers in Biology and Medicine;2024-03

3. Positional multi-length and mutual-attention network for epileptic seizure classification;Frontiers in Computational Neuroscience;2024-01-25

4. Double Discrete Variational Autoencoder for Epileptic EEG Signals Classification;IEEE Access;2024

5. Barnes–Hut approximation based accelerating t-SNE for seizure detection;Biomedical Signal Processing and Control;2023-07

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