基础情绪脑电分析方法的探索性研究

Exploratory Research on Basic Emotional Brain Wave Analysis Methods

目的研究愉悦和悲伤情绪的脑电数据,经分析、处理与改进,为精神医学领域提供新手段。方法通过神经头盔采集6名受试者在愉悦和悲伤情绪的脑电数据,经预处理,去除眼电,工频和肌电等干扰,经过分段取出需要目标信号进行分析。结果愉悦情绪脑电的α波获得增强,成为主要频次;在悲伤情绪θ波获得增强,相应的α波和β波减弱。结论本研究对脑电数据的处理方法进行了改进,为今后对脑电数据的分析提供了新的思路。

Objective The distinction of basic emotions is of great value to research in psychiatry and other fields.This research aims to study the EEG data of pleasure and sadness,analyzing,processing and improving the EEG data for providing new means for the field of psychiatry.Methods EEG data of six male college students under self-emotional stimulation of pleasure and sadness was collected through the neural helmet.The raw data was then preprocessed to remove the interference of ocular electricity,power frequency and EMG.After segmentation,the target signal was extracted for further analysis.Results The alpha wave of the EEG for pleasure emotions was enhanced and became the main frequency.In the sad condition,the theta wave was strengthened,and the corresponding alpha and beta waves were weakened.Conclusion This study improves the processing method of EEG data and provides new ideas for the analysis of EEG data in the future.