WAVELET TRANSFORMS AND SURROGATE DATA FOR ELECTROENCEPHALOGRAPHIC SPIKE AND SEIZURE LOCALIZATION

被引：25

作者：

SCHIFF, SJ

MILTON, J

HELLER, J

WEINSTEIN, SL

机构：

[1] UNIV CHICAGO HOSP & CLIN,DEPT NEUROL,CHICAGO,IL 60637

[2] CHILDRENS NATL MED CTR,DEPT NEUROL,WASHINGTON,DC 20010

来源：

OPTICAL ENGINEERING | 1994年 / 33卷 / 07期

关键词：

ADAPTIVE WAVELET TRANSFORMS; EPILEPSY; SEIZURES; SURROGATE DATA; SPIKES; FOURIER TRANSFORMS;

D O I：

10.1117/12.172248

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Wavelet transforms are used to analyze electroencephalographic data recorded from individual subdural electrodes and 2-D electrode grids in direct contact with the brain. Surrogate data techniques are used to filter noise and resolve structure in the data. Spike and seizure detection from individual electrodes with wavelet transforms are compared with windowed Fourier transforms. Wavelet transforms are a powerful means to identify epileptiform activity such as spikes from such data and also offer a method to localize the foci of epileptic seizures from electrode grids.

引用

页码：2162 / 2169

页数：8

共 26 条

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