An autoregressive method for the measurement of synchronization of interictal and ictal EEG signals

被引：0

作者：

Piotr J. Franaszczuk

Gregory K. Bergey

机构：

[1] Department of Neurology,

[2] University of Maryland School of Medicine,undefined

[3] Baltimore,undefined

[4] MD 21201,undefined

[5] USA,undefined

[6] Maryland Epilepsy Center,undefined

[7] University of Maryland Medical Center,undefined

[8] Baltimore,undefined

[9] Maryland,undefined

[10] USA,undefined

[11] Department of Physiology,undefined

[12] University of Maryland School of Medicine,undefined

[13] Baltimore,undefined

[14] Maryland,undefined

[15] USA,undefined

来源：

Biological Cybernetics | 1999年 / 81卷

关键词：

Covariance; Covariance Matrix; Preliminary Analysis; Autoregressive Model; Deterministic Model;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

We propose a new measure of synchronization of multichannel ictal and interictal EEG signals. The measure is based on the residual covariance matrix of a multichannel autoregressive model. A major advantage of this measure is its ability to be interpreted both in the framework of stochastic and deterministic models. A preliminary analysis of EEG data from three patients using this measure documents the expected increased synchronization during ictal periods but also reveals that increased synchrony persists for prolonged periods (up to 2 h or more) in the postictal period.

引用

页码：3 / 9

页数：6

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Department of Neurology, Univ. of Maryland School of Medicine, Baltimore, MD 21201, United States
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