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基于脑电信号的抑郁情绪倾向研究

Depressive emotion based on electroencephalography

作者: 白芷嫣  卞毓彩  朱颖颖  杜若瑜 
单位:<span style="font-size: 14px; font-family: Arial, sans-serif;"><a><span style="font-family: 宋体;">南京邮电大学</span>&nbsp;(<span style="font-family: 宋体;">南京</span>&nbsp;210023</a>&nbsp;</span>)
关键词: 脑电信号;视觉刺激;事件相关扰动分析;抑郁情绪;情绪实验 
分类号:<span style="font-size: 14px;font-family: Arial, sans-serif">R318.04</span>
出版年·卷·期(页码):2018·37·1(21-26)
摘要:

Objective To find the related emotional characteristics with high recognition rate to predict depression by analyzing EEG signals.Methods Firstly, we collected the 14 channel EEG signals of 19 college students as the subject (female:6, male:13) under the standard IAPS affective pictures as the stimuli.The subjects were be divided into normal group and control group according to BDI.Secondly, EEG signals were collecting by Emotiv Epoc, and then EEGLAB toolbox was used to process the original data for removing the artifact signals.Finally, the time-frequency analysis were carried out by ERSP.Results For the negative stimuli, there were a significant difference (P<0.01) between normal and control groups, which occurred in the time range of 50-150 ms and 350-450 ms based on the Alpha and Beta bands.For the positive stimuli, there were a significant difference (P<0.01) between normal group and control group in the time range of 150-250 ms and350-450 ms based on the Alpha band, while, there were the significant difference (P<0.01) in the time range of 300-400 ms based on the Beta band.Conclusions There existed some significant characteristic of EEG with the time ranges between normal and control groups.These characteristic of EEG with the special time ranges may help researchers to recognize the depression tendency and provide certain reference basis for the depression research.

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