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联合脑电信号与虚拟技术的大脑情绪状态的半球不对称性研究
引用本文:蓝文威,陈晨,张金,张家琦,黎峰,高军峰. 联合脑电信号与虚拟技术的大脑情绪状态的半球不对称性研究[J]. 中国生物医学工程学报, 2021, 40(3): 266-271. DOI: 10.3969/j.issn.0258-8021.2021.03.02
作者姓名:蓝文威  陈晨  张金  张家琦  黎峰  高军峰
作者单位:1(中南民族大学生物医学工程学院, 武汉 430074)2(认知科学国家民委重点实验室,武汉 430074)
基金项目:国家自然科学基金(81271659, 61773408);中央高校基本科研业务费专项资金(CZZ19004, CZY20039)
摘    要:为区分大脑的情绪状态以及研究在不同情绪状态下的大脑半球不对称性,征选20名健康视听无障碍的受试作为实验对象,联合虚拟现实(VR)技术和脑电(EEG)监测,在不同的VR影片刺激下,采集受试脑电信号,提取各频段的平均功率谱密度,并计算大脑半球不对称性的参考指数,对比在不同情绪状态下各频段与各脑区下的参考指数.结果 显示,相...

关 键 词:情绪状态  半球不对称性指数  EEG  功率谱密度  虚拟现实技术
收稿时间:2020-07-30

Asymmetry of Brain Emotional State Based on EEG and VR Techniques
Lan Wenwei,Chen Chen,Zhang Jin,Zhang Jiaqi,Li Feng,Gao Junfeng. Asymmetry of Brain Emotional State Based on EEG and VR Techniques[J]. Chinese Journal of Biomedical Engineering, 2021, 40(3): 266-271. DOI: 10.3969/j.issn.0258-8021.2021.03.02
Authors:Lan Wenwei  Chen Chen  Zhang Jin  Zhang Jiaqi  Li Feng  Gao Junfeng
Affiliation:(School of Biomedical Engineering, South-Central University for Nationalities, Wuhan 430074, China)(Key Laboratory of Cognitive Science, State Ethnic Affairs Commission, Wuhan 430074, China)
Abstract:In order to distinguish the emotional state of the brain and study the hemispheric asymmetry in different emotional states,20 healthy audiovisual barrier-freesubjects with an average age of 23.9 years were selected as experimental subjects, virtual reality technology and EEG technology were combined to collect EEG signals of subjects under different VR film stimulation, and then the average power spectral density of each frequency band was extracted for uses in the calculation of the index of cerebral hemisphere asymmetry on each frequency band and each brain region. Results show that the asymmetry index of positive emotion and negative emotion in frontal region hemisphere were smaller than that of neutral emotion, whereas in alpha band, the trend of asymmetry index on positive (0.130±0.227), neutral (0.058±0.240) and negative (0.006±0.130) decreased in sequence, indicating that the left frontal region was more active under positive emotion, and there was significant difference between positive emotion and negative emotion group (P < 0.05). While in other bands, the asymmetry index of frontal hemisphere had less difference between the three states. These results provided a new way to distinguish different emotions, and also provided a new method for the judgment and treatment of brain function diseases and psychological diseases.
Keywords:emotional state  hemispheric asymmetry index  EEG  power spectral density  virtual reality technology  
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