Epileptic EEG signal classification using optimum allocation based power spectral density estimation-Reference-Cited by-同舟云学术

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Epileptic EEG signal classification using optimum allocation based power spectral density estimation

Published:2018-08 Issue:6 Volume:12 Page:738-747
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Al Ghayab Hadi Ratham¹²,Li Yan¹,Siuly Siuly³,Abdulla Shahab⁴

Affiliation:

1. Faculty of Health, Engineering and SciencesUniversity of Southern QueenslandQLD4350Australia

2. Collage of Computer Sciences and MathematicsUniversity of Thi‐Qar64001Iraq

3. Centre for Applied InformaticsCollege of Engineering and Science, Victoria UniversityMelbourneAustralia

4. Open Access College, Language Centre, University of Southern QueenslandQLD4350Australia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2017.0140

Reference50 articles.

1. Epileptic EEG classification based on extreme learning machine and nonlinear features

2. Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions

3. Automated EEG analysis of epilepsy: A review

4. EEG signal classification using PCA, ICA, LDA and support vector machines

5. Use of principal component analysis for automatic classification of epileptic EEG activities in wavelet framework

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