运用FIR数字滤波器提取视觉警戒脑电的节律特征  

USING FIR DIGITAL FILTER TO EXTRACT RHYTHMIC CHARACTERISTICS OF VISUAL ALERTNESS EEG

作　　者：杨建平[1] 肖开选[1] 刘明华[1] YANG Jian-ping;XIAO Kai-xuan;LIU Ming-hua(School of electronics and information engineering,Jinggangshan university,Ji’an,Jiangxi 343009,China)

机构地区：[1]井冈山大学电子与信息工程学院,江西吉安343009

出　　处：《井冈山大学学报（自然科学版）》2020年第2期54-58,共5页Journal of Jinggangshan University (Natural Science)

基　　金：国家自然科学基金项目(31260238);江西省教育厅科技计划项目(GJJ13542)。

摘　　要：脑电信号(EEG)蕴涵着视觉警戒操作过程中的状态变化信息,利用凯泽窗函数法设计了有限长脉冲响应(FIR)数字滤波器,提取了EEG信号中δ、θ、α、β等节律,计算了各节律的相对能量。以相对能量为特征探讨了警觉状态与低警觉状态的节律差异,警觉状态变化过程中不同脑区节律的变化情况,结果表明该方法所获取的EEG特征能够较好地表征警觉状态变化,为脑机接口监控操作员的状态提供参考。The electroencephalogram(EEG) contains the state change information in the process of visual alert operation. The FIR digital filter is designed by using the Kaiser window function method. The rhythms of delta, theta, alpha and beta in the EEG signal are extracted and the relative energy of each rhythm is calculated. The characteristics of rhythm difference between alert state and low vigilance state and different brain regions during vigilance state are discussed with relative energy. The results show that the EEG features obtained by this method can better characterize the change of alert state, and provide reference for the state of the brain machine interface monitoring operator.

关 键 词：视觉警戒 脑电信号 节律 数字滤波器 凯泽窗 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]