Stockwell transform for epileptic seizure detection from EEG signals
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Signal Processing
Reference39 articles.
1. Classification of seizure based on the time-frequency image of EEG signals using HHT and SVM;Fu;Biomed. Signal Process. Control,2014
2. Classification of ictal and seizure-free EEG signals using fractional linear prediction;Joshi;Biomed. Signal Process. Control,2014
3. Epileptic seizure detection by analyzing EEG signals using different transformation techniques;Parvez;Neurocomputing,2014
4. ILAE official report: a practical clinical definition of epilepsy;Fisher;Epilepsia,2014
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1. An improved GBSO-TAENN-based EEG signal classification model for epileptic seizure detection;Scientific Reports;2024-01-08
2. Automatic Seizure Detection Based on Stockwell Transform and Transformer;Sensors;2023-12-22
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4. Using spectral and temporal filters with EEG signal to predict the temporal lobe epilepsy outcome after antiseizure medication via machine learning;Scientific Reports;2023-12-18
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