Approximate entropy of the electroencephalogram in healthy awake subjects and absence epilepsy patients

被引：31

作者：

Burioka, N

Cornélissen, G

Maegaki, Y

Halberg, F

Kaplan, DT

Miyata, M

Fukuoka, Y

Endo, M

Suyama, H

Tomita, Y

Shimizu, E

机构：

[1] Tottori Univ, Fac Med, Div Med Oncol & Mol Resp, Yonago, Tottori 6838504, Japan

[2] Tottori Univ, Fac Med, Inst Neurol Sci, Div Child Neurol, Yonago, Tottori 6838504, Japan

[3] Tottori Univ, Fac Med, Div Hlth Care, Yonago, Tottori 6838504, Japan

来源：

CLINICAL EEG AND NEUROSCIENCE | 2005年 / 36卷 / 03期

关键词：

absence epilepsy; approximate entropy; electroencephalography; surrogate data;

D O I：

10.1177/155005940503600309

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

The approximate entropy (ApEn) of signals in the electroencephalogram (EEG) was evaluated in 8 healthy volunteers and in 10 patients with absence epilepsy, both during seizure-free and seizure intervals. We estimated the nonlinearity of each 3-sec EEG segment using surrogate data methods. The mean ( +/- SD) ApEn in EEG was 0.83 +/- 0.22 in healthy subjects awake with eyes closed. It was significantly lower during epileptic seizures (0.48 +/- 0.05) than during seizure-free intervals (0.80 +/- 0.13) (P<0.001). Nonlinearity was clearly detected in EEG signals from epileptic patients during seizures but not during seizure-free intervals or in EEG signals from healthy subjects. The ApEn of EEG signals estimated over consecutive intervals could serve to determine pathological brain activity such as that occurring during absence epilepsy.

引用

页码：188 / 193

页数：6

共 26 条

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