WCSE 2017
ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.125

Vector Autoregressive Model of Wavelet Analysis and Granger Causality Positioning Epileptic EEG

Li Qiong, Zhang Lin, Han Xu, Fang Li Li, Chen Liang

Abstract— In this paper, we used the Granger causality test of vector autoregressive to study the connectivity of epileptic EEG. The real epilepsy EEG data show that Granger causality exists among epileptic lesions, which is conducive to understand the dynamic mode of operation of human brain at the system level, and to provide technical guidance for clinical diagnosis and treatment. And the results also show that using Granger causality of vector autoregressive to locate EEG epileptic wave has a bright future.

Index Terms— epilepsy wave, EEG, wavelet analysis, vector autoregressive model, granger causality

Li Qiong
Mianyang Normal University, CHINA
Zhang Lin
Chengdu Yingde Bio-pharmaceutical Equipment and Technology Co. Ltd, Sichuan Airlines Co. Ltd, CHINA
Han Xu
Sichuan Airlines Co. Ltd, CHINA
Fang Li Li
Patent Examination Cooperation Sichuan Center of Patent Office, Sipo, Sichuan Airlines Co. Ltd, CHINA
Chen Liang
Chengdu Shuangliu International Airport Corporation Limited Mechanical and Electrical Equipment Centre, CHINA

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Cite: Li Qiong, Zhang Lin, Han Xu, Fang Li Li, Chen Liang, "Vector Autoregressive Model of Wavelet Analysis and Granger Causality Positioning Epileptic EEG," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 717-720, Beijing, 25-27 June, 2017.