DCNet: A Self-Supervised EEG Classification Framework for Improving Cognitive Computing-Enabled Smart Healthcare-Reference-Cited by-同舟云学术

DCNet: A Self-Supervised EEG Classification Framework for Improving Cognitive Computing-Enabled Smart Healthcare

Published:2024-08 Issue:8 Volume:28 Page:4494-4502
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Zhang Yiyang¹^ORCID,Sun Le¹^ORCID,Gupta Deepak²^ORCID,Ning Xin³^ORCID,Tiwari Prayag⁴^ORCID

Affiliation:

1. Department of Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China

2. Research Advisor, UCRD, Chandigarh University, Gharuan, Mohali, India

3. High-speed Circuits and Artificial Neural Networks Laboratory, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China

4. School of Information Technology, Halmstad University, Halmstad, Sweden

Funder

Major Key Project of PCL

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10625760/10412073.pdf?arnumber=10412073

Reference39 articles.

1. Cognitive neuroscience and robotics: Advancements and future research directions

2. Understanding consumer physiological and emotional responses to food products using electroencephalography (EEG)

3. A quantum blockchain-enabled framework for secure private electronic medical records in Internet of Medical Things

4. A discriminative SPD feature learning approach on Riemannian manifolds for EEG classification

5. SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach

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