EEG Signal Analysis Approaches for Epileptic Seizure Event Prediction Using Deep Learning
Author:
Affiliation:
1. International Hellenic University,MLV Research Group,Department of Computer Science,Kavala,Greece
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10271384/10271386/10271651.pdf?arnumber=10271651
Reference65 articles.
1. Epilepsyecosystem.org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG
2. Prediction of epileptic seizures from spectral features of intracranial eeg recordings using deep learning approach
3. Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state
4. Predicting Epileptic Seizures using Ensemble Method
5. The Temple University Hospital EEG Data Corpus
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1. EEG Channel Selection for Epileptic Seizure Prediction;2024 Panhellenic Conference on Electronics & Telecommunications (PACET);2024-03-28
2. Evaluating CNN Methods for Epileptic Seizure Type Classification Using EEG Data;IEEE Access;2024
3. A Fusion of CNN and Grey Wolf Optimization-Enhanced BiGRU for Epileptic Seizure Recognition Using EEG Signals;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04
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