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A Case-Based Reasoning Model for Depression Based on Three-Electrode EEG Data

  • Published:2020-07-01 Issue:3 Volume:11 Page:383-392
  • ISSN:1949-3045
  • Container-title:IEEE Transactions on Affective Computing
  • language:
  • Short-container-title:IEEE Trans. Affective Comput.

Author:

Cai Hanshu,Zhang XiangziORCID,Zhang Yanhao,Wang Ziyang,Hu BinORCID

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Beijing Municipal Science and Technology Commission

Program of International S&T Cooperation of MOST

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Software

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1. Functional brain network based on improved ensemble empirical mode decomposition of EEG for anxiety analysis and detection;Biomedical Signal Processing and Control;2024-05

2. BiCCT: A Compact Convolutional Transformer for EEG Emotion Recognition;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

3. EEG-Based Depression Recognition Using Time-Frequency Convolutional Networks;2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI);2023-10-28

4. Feasibility study on using house-tree-person drawings for automatic analysis of depression;Computer Methods in Biomechanics and Biomedical Engineering;2023-07-07

5. Analysis of region of interest (RoI) of brain for detection of depression using EEG signal;Multimedia Tools and Applications;2023-05-23
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