Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 6
1696-1699

Epileptic seizure prediction research based on permutation entropy and support vector machine

Zhou Mengnia
Cui Huifanga
Cao Ruib
Wang Bina
Yan Pengfeia
Xiang Jiea
a. College of Information & Computer, b. College of Software, Taiyuan University of Technology, Taiyuan 030024, China
DOI: 10.19734/j.issn.1001-3695.2017.12.0816

Abstract

Aiming at the great harm caused by epileptic seizures for patients and leave enough spare time for clinical treatment, the study put forword a system which can predict the seizure in advance for people with epileptic. This method based on 21 epileptic patients and extracted permutation entropy as a feature vector which has lower algorithm complexity. Then it input the vector into the support vector machine(SVM) to train a learning model and identify the ictal samples. Taking full account of patient differences, it used voting mechanism to determine the patient's state. Finally, the method realized a real-time prediction for epileptic. The results show that this method can predict 81% of the seizures with more than 50 minutes before the onset of epilepsy, and it has a low false alarm rate. The method provides a solid foundation for theoretical research of seizure prediction system.

Foundation Support

国家自然科学基金资助项目(61503272,61305142,61373101,61741212)
山西省自然科学青年基金资助项目(2015021090,201601D202042)
博士后基金资助项目(2016M601287)
山西省回国留学人员科研资助项目(2016-037)
山西省重点研发计划资助项目(201603D111014)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.12.0816
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 6
Section: Algorithm Research & Explore
Pages: 1696-1699
Serial Number: 1001-3695(2019)06-021-1696-04

Publish History

[2019-06-05] Printed Article

Cite This Article

周梦妮, 崔会芳, 曹锐, 等. 基于排列熵和支持向量机的癫痫发作预测研究 [J]. 计算机应用研究, 2019, 36 (6): 1696-1699. (Zhou Mengni, Cui Huifang, Cao Rui, et al. Epileptic seizure prediction research based on permutation entropy and support vector machine [J]. Application Research of Computers, 2019, 36 (6): 1696-1699. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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