首页> 外文会议>International conference on augmented cognition;International conference on human-computer interaction >Wavelet Packet Entropy Analysis of Resting State Electroencephalogram in Sleep Deprived Mental Fatigue State
【24h】

Wavelet Packet Entropy Analysis of Resting State Electroencephalogram in Sleep Deprived Mental Fatigue State

机译:睡眠剥夺性精神疲劳状态下静息状态脑电波的小波包熵分析

获取原文

摘要

In order to explore the characteristics of the complexity of resting electroencephalogram (EEG) in mental fatigue state after sleep deprivation, 36 healthy subjects were recruited to participate in the 30 h complete sleep deprivation test, and the resting state electroencephalogram (EEG) in open and closed eyes were collected, and the entropy analysis of the resting state electroencephalogram (EEG) signal alpha was carried out before and after sleep deprivation. The results showed that compared with resting state before sleep deprivation, the closed eye alpha 1 band wavelet packet entropy decreased significantly after sleep deprivation, and the wavelet packet entropy of alpha 1 band in eye opening did not change significantly after sleep deprivation. The results showed that the entropy of the alpha 1 band wavelet packet entropy decreased obviously after sleep deprivation. It was an important feature of the electroencephalogram changes under the condition of increasing sleep pressure.
机译:为了探讨睡眠剥夺后精神疲劳状态下静息脑电图(EEG)的复杂性特征,招募了36名健康受试者参加30 h完全睡眠剥夺测试,并在开放和安静状态下静息状态脑电图(EEG)。收集闭眼,并在睡眠剥夺前后对静息状态脑电图(EEG)信号α进行熵分析。结果表明,与剥夺睡眠前的休息状态相比,剥夺睡眠后闭眼的α1带小波包熵显着降低,剥夺睡眠后睁眼的α1带的小波包熵没有明显变化。结果表明,睡眠剥夺后,α1带小波包熵的熵明显降低。这是睡眠压力增加时脑电图变化的重要特征。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号