Classifying and Scoring Major Depressive Disorders by Residual Neural Networks on Specific Frequencies and Brain Regions-Reference-Cited by-同舟云学术

Classifying and Scoring Major Depressive Disorders by Residual Neural Networks on Specific Frequencies and Brain Regions

Published:2023 Issue: Volume:31 Page:2964-2973
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Kang Cheng¹^ORCID,Novak Daniel¹^ORCID,Yao Xujing²^ORCID,Xie Jiayong³,Hu Yong⁴^ORCID

Affiliation:

1. Department of Cybernetics and Robotics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic

2. School of Informatics, University of Leicester, Leicester, U.K.

3. Department of Nephrology, Xinghua City People’s Hospital, Taizhou, China

4. Department of Orthopaedics and Traumatology, The University of Hong Kong, Kowloon Tong, Hong Kong

Funder

Research Centre for Informatics

Student Grant Agency of the Czech Technical University in Prague

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

Reference51 articles.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. EEG-Based Depression Recognition Using Convolutional Neural Network with FFT and EMD;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05