Wavelet entropy in event-related potentials:: a new method shows ordering of EEG oscillations

被引：141
|
作者：
Quiroga, RQ
Rosso, OA
Basar, E
Schürmann, M
机构：
[1] Med Univ Lubeck, Inst Physiol, D-23538 Lubeck, Germany
[2] Forschungszentrum Julich, NIC, D-52425 Julich, Germany
[3] Univ Buenos Aires, FCEyN, Inst Calculo, RA-1428 Buenos Aires, DF, Argentina
[4] TUBITAK Brain Dynam Res Unit, Ankara, Turkey
来源：
BIOLOGICAL CYBERNETICS | 2001年 / 84卷 / 04期
关键词：
D O I：
10.1007/s004220000212
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this work we show the application of a measure of entropy defined from the wavelet transform, namely the wavelet entropy (WS), to the study of event-related potentials (ERPs). WS was computed for ERPs recorded from nine healthy subjects with three different types of stimuli, among them target stimuli in a cognitive task. A significant decrease of entropy was correlated with the responses to target stimuli (P300), thus showing that these responses correspond to a more "ordered" state than the spontaneous EEG. Furthermore, we propose the WS as a quantitative measure for such transitions between EEG ("disordered state") and ERP ("ordered state").
引用
收藏
页码：291 / 299
页数：9
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