Automatic Detection of Epileptiform Events in EEG by a Three-Stage Procedure Based on Artificial Neural Networks-Reference-Cited by-同舟云学术

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Automatic Detection of Epileptiform Events in EEG by a Three-Stage Procedure Based on Artificial Neural Networks

Published:2005-01 Issue:1 Volume:52 Page:30-40
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:en
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Acir N.,Oztura I.,Kuntalp M.,Baklan B.,Guzelis C.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx5/10/29975/01369586.pdf?arnumber=1369586

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2. A review of signal processing and machine learning techniques for interictal epileptiform discharge detection;Computers in Biology and Medicine;2024-01

3. Enhancing Performance of Convolutional Neural Network-Based Epileptic Electroencephalogram Diagnosis by Asymmetric Stochastic Resonance;IEEE Journal of Biomedical and Health Informatics;2023-09

4. Deep neural networks for the detection of temporal-lobe epileptiform discharges from scalp electroencephalograms;Biomedical Signal Processing and Control;2023-07

5. MICAL: Mutual Information-Based CNN-Aided Learned Factor Graphs for Seizure Detection From EEG Signals;IEEE Access;2023

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