Feature extraction based on sparse representation with application to epileptic EEG classification-Reference-Cited by-同舟云学术

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Feature extraction based on sparse representation with application to epileptic EEG classification

Published:2013-05-21 Issue:2 Volume:23 Page:104-113
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int. J. Imaging Syst. Technol.

Author:

Wang Jing,Gao X. Z.¹,Guo Ping²

Affiliation:

1. Department of Automation and Systems Technology; Aalto University School of Electrical Engineering; Aalto; Finland

2. Laboratory of Image Processing and Pattern Recognition; Beijing Normal University; Beijing; China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/ima.22045/fullpdf

Reference23 articles.

1. The K-SVD: An algorithm for designing Overcomplete Dictionaries for Sparse Representation;Aharon;IEEE Trans Signal Process,2006

2. Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state;Andrzejak;Phys Rev E,2001

3. Uncertainty principles and ideal atomic decomposition;Donoho;IEEE Trans Inform Theory,2001

4. Recurrent neural networks employing Lyapunov exponents for EEG signals classification;Güler;Exp Syst Appl,2005

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A new method for diagnosing epilepsy using dictionary learning;International Journal of Biomedical Engineering and Technology;2023

2. A systematic mapping of feature extraction and feature selection methods of electroencephalogram signals for neurological diseases diagnostic assistance;IEEE Latin America Transactions;2021-05

3. Epileptic seizure detection by combining robust-principal component analysis and least square-support vector machine;International Journal of Imaging Systems and Technology;2017-11-20

4. Review of Sparse Representation-Based Classification Methods on EEG Signal Processing for Epilepsy Detection, Brain-Computer Interface and Cognitive Impairment;Frontiers in Aging Neuroscience;2016-07-08

5. Shape Classification Based on Geometric Features of Evolution Points via Sparse Representation;International Journal on Artificial Intelligence Tools;2016-06

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