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Intelligent Classification for Emotional Issues by Deep Learning Network on EEG Signal Processing
Yin, Shaokang1,2,3; Zhu, Feiyu1,2,3; Wei, Xiaojie1,2,3; Han, Gongen4; Zhang, Runqi4; Liu, Xi1,2,3; Hu, Bingliang1,3; Wang, Quan1,3
2022
会议名称2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2022
会议录名称2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2022
页码742-747
会议日期2022-02-25
会议地点Changchun, China
出版者Institute of Electrical and Electronics Engineers Inc.
产权排序1
摘要

Identifying the risk of emotional issues is of great significance to the development of adolescents. Electroencephalography (EEG) signals can reflect brain activities, and imply the emotional status, therefore can be used to identify emotional issues. In this study, we designed an experimental paradigm for high school adolescents by displaying emotion-inducing pictures as stimuli and recorded their EEG signals simultaneously. The EEG signals was preprocessed and analyzed. In this paper we applied a convolutional network EEGNet to classify four emotional issues in adolescents: depression symptom, manic symptom, anxiety symptom and the control group. The results showed that the classification accuracy of the four groups can reach 94.24%. In addition, this paper explored using different types of picture stimuli on the classification and reached a result above chance level. This work extended the previous work on the classification of emotional issues to four categories, and achieved a good classification accuracy. © 2022 IEEE.

关键词EEG Classification Emotional issues Adolescents EEGNet
作者部门光谱成像技术研究室
DOI10.1109/EEBDA53927.2022.9744774
收录类别EI ; CPCI
ISBN号9781665416061
语种英语
WOS记录号WOS:000941790700158
EI入藏号20221712027366
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/95861
专题光谱成像技术研究室
通讯作者Wang, Quan
作者单位1.Xi'an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences, Key Laboratory of Spectral Imaging Technology, Xi'an, China;
2.University of Chinese Academy of Sciences, Beijing, China;
3.Key Laboratory of Biomedical Spectroscopy of Xi'an, Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences, Xi'an, China;
4.Xi'an Gaoxin No.1 High School, Xi'an, China
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GB/T 7714
Yin, Shaokang,Zhu, Feiyu,Wei, Xiaojie,et al. Intelligent Classification for Emotional Issues by Deep Learning Network on EEG Signal Processing[C]:Institute of Electrical and Electronics Engineers Inc.,2022:742-747.
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