Exploring the Intrinsic Features of EEG Signals via Empirical Mode Decomposition for Depression Recognition-Reference-Cited by-同舟云学术

Exploring the Intrinsic Features of EEG Signals via Empirical Mode Decomposition for Depression Recognition

Published:2023 Issue: Volume:31 Page:356-365
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Shen Jian¹^ORCID,Zhang Yanan²,Liang Huajian¹,Zhao Zeguang¹,Dong Qunxi¹,Qian Kun¹^ORCID,Zhang Xiaowei²^ORCID,Hu Bin¹^ORCID

Affiliation:

1. Brain Health Engineering Laboratory, School of Medical Technology, Beijing Institute of Technology, Beijing, China

2. School of Information Science and Engineering, Lanzhou University, Lanzhou, China

Funder

National Key Research and Development Program of China

Project through the China Postdoctoral Science Foundation

National Natural Science Foundation of China

Beijing Institute of Technology Research Fund Program for Young Scholars

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

Reference52 articles.

5. Statistical comparisons of classifiers over multiple data sets;demšar;J Mach Learn Res,2006

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