Automatic detection of seizure termination during electroconvulsive therapy using sample entropy of the electroencephalogram

被引：14

作者：

Yoo, Cheol Seung ^{[2
]}

Jung, Dong Chung ^{[3
]}

Ahn, Yong Min ^{[3
,4
]}

Kim, Yong Sik ^{[2
,3
,4
]}

Kim, Su-Gyeong ^{[4
]}

Yoon, Hyeri ^{[3
]}

Lim, Young Jin ^{[5
]}

Yi, Sang Hoon ^{[1
]}

机构：

[1] Inje Univ, Dept Comp Aided Sci, Inst Basic Sci, Gimhae Si 621749, Gyeongnam, South Korea

[2] Seoul Natl Univ, Inst Human Behav Med, Coll Med, Seoul 110744, South Korea

[3] Seoul Natl Univ Hosp, Dept Neuropsychiat, Seoul 110744, South Korea

[4] Seoul Natl Univ, Dept Psychiat & Behav Sci, Coll Med, Seoul 110744, South Korea

[5] Seoul Natl Univ Hosp, Dept Anesthesiol & Pain Med, Seoul 110744, South Korea

来源：

PSYCHIATRY RESEARCH | 2012年 / 195卷 / 1-2期

关键词：

electroconvulsive therapy; seizure duration; sample entropy; complexity; HEART-RATE-VARIABILITY; TIME-SERIES ANALYSIS; APPROXIMATE ENTROPY; INTERRATER RELIABILITY; NONLINEAR-ANALYSIS; INTRACRANIAL EEG; ECT; DURATION; COMPLEXITY; REGULARITY;

D O I：

10.1016/j.psychres.2011.06.020

中图分类号：

R749 [精神病学];

学科分类号：

100205 ;

摘要：

Determining the exact duration of seizure activity is an important factor for predicting the efficacy of electroconvulsive therapy (ECT). In most cases, seizure duration is estimated manually by observing the electroencephalogram (EEG) waveform. In this article, we propose a method based on sample entropy (SampEn) that automatically detects the termination time of an ECT-induced seizure. SampEn decreases during seizure activity and has its smallest value at the boundary of seizure termination. SampEn reflects not only different states of regularity and complexity in the EEG but also changes in EEG amplitude before and after seizure activity. Using SampEn, we can more precisely determine seizure termination time and total seizure duration. (C) 2011 Elsevier Ireland Ltd. All rights reserved.

引用

页码：76 / 82

页数：7

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