Epileptic activity recognition in EEG recording

被引：56
|
作者：
Diambra, L
de Figueiredo, JCB
Malta, CP
机构：
[1] Univ Sao Paulo, Inst Fis, BR-05315970 Sao Paulo, Brazil
[2] Univ Sao Paulo, Inst Coracao, BR-05403000 Sao Paulo, Brazil
来源：
PHYSICA A | 1999年 / 273卷 / 3-4期
基金：
巴西圣保罗研究基金会;
关键词：
D O I：
10.1016/S0378-4371(99)00368-4
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
We apply Approximate Entropy (ApEn) algorithm in order to recognize epileptic activity in electroencephalogram recordings. ApEn is a recently developed statistical quantity for quantifying regularity and complexity. Our approach is illustrated regarding different types of epileptic activity. In all segments associated with epileptic activity analyzed here the complexity of the signal measured by ApEn drops abruptly. This fact can be useful for automatic recognition and detection of epileptic seizures. (C) 1999 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：495 / 505
页数：11
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