Interpretation of RQA variables: Application to the prediction of epileptic seizures

被引:0
作者
Hamadene, Wassila [1 ]
Peyrodie, Laurent [1 ]
Seidiri, Haouaria [1 ]
机构
[1] HEI, ERASM, 13 Rue Toul, F-59000 Toul, France
来源
2006 8TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-4 | 2006年
关键词
epilepsy; electroencephalogram; EEG; chaos; complexity; nonlinearity; RP method; RQA method;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Epilepsy is characterized by the sudden occurence of seizures disturbing the epileptic patients. Several nonlinear methods have been suggested to predict the onset of epileptic seizures from intracranial or scalp Electroencephalogram (EEG) data as "dynamical similarity index analysis" and the "correlation dimension method". Here, special interest is focussed on the focal seizures prediction from, scalp EEG data using a nonlinear method called Recurrence Quantification Analysis (RQA).
引用
收藏
页码:2444 / +
页数:2
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