AR based quadratic feature extraction in the VMD domain for the automated seizure detection of EEG using random forest classifier-Reference-Cited by-同舟云学术

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AR based quadratic feature extraction in the VMD domain for the automated seizure detection of EEG using random forest classifier

Published:2017-01 Issue: Volume:31 Page:550-559
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Zhang Tao,Chen Wanzhong,Li Mingyang

Funder

Natural Science Foundation for Science and Technology Development Plan of Jilin Province, China

Specialized Research Fund for the Doctoral Program of Higher Education of China

Key project of science and technology development plan of Jilin province, China

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference39 articles.

1. On the nature of seizure dynamics;Jirsa;Brain,2014

2. World Health Organization, Epilepsy. http://www.who.int/mediacentre/factsheets/fs999/en/ (last accessed 18.11.15).

3. Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions;Pachori;Comput. Methods Prog. Biomed.,2014

4. Epileptic EEG classification using nonlinear parameters on different frequency bands;Martis;J. Mech. Med. Biol.,2015

5. Adaptive epileptic seizure prediction system;Iasemidis;IEEE Trans. Biomed. Eng.,2003

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