Detrended cross-correlation analysis of epilepsy electroencephalagram singals

摘要：

　　The cross-correlation performance between epilepsy electroencephalogram (EEG) signals reflects the status of epilepsy patients which has importance for analyzing long-range correlation of non-stationary signals.For the first time,detrended cross-correlation analysis (DCCA) was applied to analyze different physiological and pathological states of epilepsy EEG signals.It were compared the difference of DCCA values between epilepsy patients EEG signals and normal subjects EEG signals.It was found that the DCCA values of epilepsy patients EEG signals increased compared the normal subjects EEG signals which can be helpful for medical diagnosis and treatment.

关键词： detrended cross-correlation analysis epilepsy electroencephalagram

作者: Junchang Zhao Wanhu Dou Hongda Ji Jun Wang

作者单位: Image Processing and Image Communications Key Lab, College of Geo & Bio Information, Nanjing Univ of Posts & Telecomm, Nanjing 210003, China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Systems Engineering and Modeling(ICSEM-13)(2013年第二届系统工程与建模国际会议)

会议地点: 北京

会议语种:英文

页码: 872-874

在线出版日期: 2013-04-19（万方平台首次上网日期，不代表论文的发表时间）