计算机应用与软件2024，Vol.41Issue(11)：131-137,167,8.DOI:10.3969/j.issn.1000-386x.2024.11.018
基于快速独立分量分析算法的不同情绪下事件相关电位差异性分析
DIFFERENCE ANALYSIS OF EVENT-RELATED POTENTIALS UNDER DIFFERENT EMOTIONS BASED ON FAST INDEPENDENT COMPONENT ANALYSIS ALGORITHM
摘要
Abstract
In view of the differences in electroencephalogram(EEG)induced by different emotions and the insignificant effects of traditional emotion induction methods,virtual reality(VR)technology was adopted as the experimental emotion induction environment.The third-order fast independent component analysis(FastICA)algorithm and event-related potential(ERP)technology were applied to the artifact processing and analysis of EEG data.The experimental results show that the EEG signals of positive and negative emotions,and neutral emotions after de-artifact processing have significant differences in the N1 and P2 stages of ERP.In the N1 time window,the low-titer negative stimuli pay more attention to the allocation of resources than the high-price positive stimulus.In the P2 stage,it is found that the brain preferentially processes not only negative stimuli that threaten the individual,but also various stimuli with motivational significance.关键词
虚拟现实/快速独立分量分析/事件相关电位/脑电信号Key words
Virtual Reality(VR)/Fast independent component analysis/Event related potential/EEG分类
信息技术与安全科学引用本文复制引用
余绍黔,贾泽光,李闯..基于快速独立分量分析算法的不同情绪下事件相关电位差异性分析[J].计算机应用与软件,2024,41(11):131-137,167,8.基金项目
湖南省社会科学基金项目一般项目(23YBA172) （23YBA172）
国家重点研发计划项目(2022YFC3302503). （2022YFC3302503）
