Subband EEG complexity after global hypoxic-ischemic brain injury

被引：0

作者：

Tong, SB ^{[1
]}

Hong, B ^{[1
]}

Vigderman, L ^{[1
]}

Thakor, NV ^{[1
]}

机构：

[1] Johns Hopkins Univ, Sch Med, Dept Biomed Engn, Baltimore, MD 21205 USA

来源：

PROCEEDINGS OF THE 26TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2004年 / 26卷

关键词：

sample entropy; alpha wave; cardiac arrest; electroencephalogram;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Hypoxic-Ischemic (HI) brain injury after cardiac arrest (CA) causes the main morbidity and mortality of the patients. The mechanism of HI neurological injury and its real time detection and monitoring have been extensively studied in the past years. The electroencephalogram (EEG) following CA has been investigated to provide a noninvasive monitoring strategy. In this present work, we studied the complexity of the EEG signal after HI injury. Sample entropy (SampEn) is applied to analyze the EEG in different frequency bands (delta, theta, alpha and beta). The "alpha vulnerability" in rhythmic complexity is observed, which indicated that among different EEG rhythmic subbands, alpha wave shows a distinct SampEn decrease during the early recovery period after HI injury. The alpha vulnerability is confirmed by our previous research on the vulnerability in thalamic somatosensory pathway. The results may help us develop means to restore electrical function recovery after HI.

引用

页码：562 / 565

页数：4

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