小波熵分析结果表明，与正常睡眠组比较，睡眠剥夺组自发脑电的256点小波熵和事件相关电位的32点小波熵均值都显著降低。

Wavelet entropy analysis shows that after sleep deprivation, compared with natural sleep, the 256 points WE of spontaneous EEG and the 32 points average WE of ERP evidently decreased.

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结果表明，层析得到的电源强度与头表的脑电数据相比，能更好地反映注意导致的P 1、N1相对增强效应，其中尤以N1的增强比较明显。

The results show that compared with the scalp surface ERP data, the current source intensity derived from tomography can better reflect the enhanced effect of P1 and N1, especially N1.

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在脑电数据的时域研究方面，事件相关电位(简称ERP)方法被广泛地应用于脑的高级功能的研究中，被誉为“观察脑的高级功能的窗口”。

In the temporal study of EEG data, event-related potentials (ERP) is widely used in the research of brain function by many researchers and recognized as 'window of brain's advanced function '.

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