MADNet: EEG-Based Depression Detection Using a Deep Convolution Neural Network Framework with Multi-dimensional Attention

Author:

Chen Shuyu,Yu Yangzuyi,Pan Jiahui

Publisher

Springer Nature Switzerland

Reference20 articles.

1. Acharya, U.R., Oh, S.L., Hagiwara, Y., Tan, J.H., Adeli, H., Subha, D.P.: Automated EEG-based screening of depression using deep convolutional neural network. Comput. Methods Program. Biomed. 161, 103–113 (2018)

2. Beck, A.T., Steer, R.A., Brown, G.K., et al.: Beck Depression Inventory. Harcourt Brace Jovanovich, New York (1987)

3. Series in BioEngineering;B Goudiaby,2020

4. Jasper, H.H.: Ten-twenty electrode system of the international federation. Electroencephalogr. Clin. Neurophysiol. 10, 371–375 (1958)

5. Kang, M., Kwon, H., Park, J.H., Kang, S., Lee, Y.: Deep-asymmetry: asymmetry matrix image for deep learning method in pre-screening depression. Sensors 20(22), 6526 (2020)

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