Intelligent Classification for Emotional Issues by Deep Learning Network on EEG Signal Processing | |
Yin, Shaokang2,3,4; Zhu, Feiyu2,3,4; Wei, Xiaojie2,3,4; Han, Gongen1; Zhang, Runqi1; Liu, Xi2,3,4; Hu, Bingliang2,4; Wang, Quan2,4 | |
2022 | |
会议日期 | 2022-02-25 |
会议地点 | Changchun, China |
关键词 | EEG Classification Emotional issues Adolescents EEGNet |
DOI | 10.1109/EEBDA53927.2022.9744774 |
页码 | 742-747 |
英文摘要 | 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. |
产权排序 | 1 |
会议录 | 2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2022 |
会议录出版者 | Institute of Electrical and Electronics Engineers Inc. |
语种 | 英语 |
ISBN号 | 9781665416061 |
内容类型 | 会议论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/95861] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
通讯作者 | Wang, Quan |
作者单位 | 1.Xi'an Gaoxin No.1 High School, Xi'an, China 2.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; 3.University of Chinese Academy of Sciences, Beijing, China; 4.Xi'an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences, Key Laboratory of Spectral Imaging Technology, Xi'an, China; |
推荐引用方式 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]. 见:. Changchun, China. 2022-02-25. |
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