Symbolic transfer entropy

被引：454

作者：

Staniek, Matthaeus ^{[1
,2
]}

Lehnertz, Klaus ^{[1
,2
,3
]}

机构：

[1] Univ Bonn, Dept Epidemiol, Neurophys Grp, D-53105 Bonn, Germany

[2] Univ Bonn, Helmholtz Inst Radiat & Nucl Phys, D-53115 Bonn, Germany

[3] Univ Bonn, Interdisciplinary Ctr Complex Syst, D-53117 Bonn, Germany

来源：

PHYSICAL REVIEW LETTERS | 2008年 / 100卷 / 15期

关键词：

D O I：

10.1103/PhysRevLett.100.158101

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

We propose to estimate transfer entropy using a technique of symbolization. We demonstrate numerically that symbolic transfer entropy is a robust and computationally fast method to quantify the dominating direction of information flow between time series from structurally identical and nonidentical coupled systems. Analyzing multiday, multichannel electroencephalographic recordings from 15 epilepsy patients our approach allowed us to reliably identify the hemisphere containing the epileptic focus without observing actual seizure activity.

引用

页数：4

共 26 条

[1] A robust method for detecting interdependences: application to intracranially recorded EEG [J].