生命科学仪器2023，Vol.21Issue(3)：64-72,9.DOI:10.11967/2023210610
多导脑电时频分析与多尺度熵融合的情感计算体系研究
Research on Affective Computing System of EEG Multi-leads Time-Frequency Analysis and Multi-scale Entropy Fusion
摘要
Abstract
Precise electrophysiological feature fusion plays an important role in Brain-Computer Interaction tech-nology.Geared to the critical demands of affective computing,this paper discusses the synergic effect among multi-ple encephalic regions and diverse emotions based on datasets of the human electroencephalogram(EEG).Based on the database of 14-leads EEG signals of 23 healthy subjects whose emotions are evoked by watching a video,we reconcile time-frequency analysis,power spectrum analysis,and multi-scale entropy analysis methods to collect multi-dimensional feature indexes from 5 EEG frequency bands for fusion comparison under 3 different emotion categories and 9 subcategories.Then we summarize the classification basis and carry out verification with statistical significance analysis.It is found that the sampling entropy of the stimuli state is gradually higher than that of the baseline state with the increase of frequency,and the indexes of the3 kinds of emotion categories or 9 kinds of emo-tion subcategories are generally significantly different,which could provide an important basis for emotion recogni-tion,and furthermore to reveal the time-frequency rule of EEG energy and entropy under diverse emotions.关键词
情感计算/脑电/时频分析/多尺度熵/方差分析Key words
Affective Computing/Time-Frequency Analysis/EEG/Multi-Scale Entropy/ANOVA分类
生物科学引用本文复制引用
吴骁,孔怡然,梁霄,陈杏梅,樊璐倩,张楚婷,叶建宏,史文彬..多导脑电时频分析与多尺度熵融合的情感计算体系研究[J].生命科学仪器,2023,21(3):64-72,9.基金项目
国家自然科学基金项目(62001026、62171028) （62001026、62171028）
国家高层次人才基金项目(3050012222022) （3050012222022）
