Classification of Focal and Generalized Epilepsy Using Multi-Features and Empirical Mode Decomposition Method-Reference-Cited by-同舟云学术

Classification of Focal and Generalized Epilepsy Using Multi-Features and Empirical Mode Decomposition Method

Published:2023-07-13 Issue: Volume: Page:
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Container-title:2023 International Symposium on Signals, Circuits and Systems (ISSCS)
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Author:

Murariu Mădălina-Giorgiana¹,Hrişcă-Eva Oana-Diana²,Tărniceriu Daniela¹

Affiliation:

1. “Gheorghe Asachi” Technical University, Bd. Carol I, no. 11 A,Faculty of Electronics, Telecommunications and Information Technology,Iaşi,Romania,700506

2. University of Medicine and Pharmacy “Grigore T. Popa”,Faculty of Medical Bioengineering,Iasi,Romania,700454 Iasi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10190846/10190849/10190929.pdf?arnumber=10190929

Reference16 articles.

1. Graph Eigen Decomposition-Based Feature-Selection Method for Epileptic Seizure Detection Using Electroencephalography

2. Kurtosis-Based Detection of Intracranial High-Frequency Oscillations for the Identification of the Seizure Onset Zone

3. A Novel Automated Empirical Mode Decomposition (EMD) Based Method and Spectral Feature Extraction for Epilepsy EEG Signals Classification

4. Entropy features for focal EEG and non focal EEG

5. Use of the median EEG frequency and pharmacokinetics in determining depth of anaesthesia

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1. Empirical Wavelet Transform in Epilepsy Diagnosis: A Multi-Features Approach to EEG Focal and Generalized Signal Classification;2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI);2024-06-27

2. Enhanced Classification of Focal and Generalized Epilepsy Using EEMD and CEEMDAN Methods;Traitement du Signal;2024-06-26