摘要
从频域探索脑电(EEG)信号的生理信息是研究大脑神经细胞电活动的重要手段,其中重心频率是频域信息的一个全局性参数。本研究运用性能甚佳的多窗谱方法(MTM)计算了警戒状态与警戒下降状态情形下受试者的EEG功率谱及其重心频率。计算结果表明,警戒状态下功率谱的重心频率高于警戒下降状态的重心频率,重心频率随着警戒下降而变小,其所对应的谱线位置发生左移。最后,通过设计算法获取了重心频率的监控曲线,并应用于警戒作业人员的在线监控。
It is an important means to study the electrical activity of the brain's nerve cells by exploring physiological information of the EEGs from the frequency domain. The gravity frequency is one of the global parameters with u- sing this method. We used the multitaper spectrum method (MTM) spectrum estimation method of good perform- ance to calculate the EEG spectrum and its gravity frequency of subjects under vigilance and vigilance decrement state. The results showed that the gravity frequency of vigilance state was higher than that of vigilance decrement state, the gravity frequency became smaller along with the vigilance decrement, and the location of the gravity fre- quency shifted to the left in the spectrum. Finally, the monitoring curve of the gravity frequency was acquired by de- signing an algorithm, and it was used to online monitoring vigilance operators.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2014年第2期257-261,共5页
Journal of Biomedical Engineering
基金
国家自然科学基金资助项目(31260238)
吉安市科技支持项目资助([2013]32号)
关键词
脑电
多窗谱方法
重心频率
警戒下降
EEG
multitaper spectrum method
gravity frequency
vigilance decrement