Consformer: Consciousness Detection Using Transformer Networks With Correntropy-Based Measures-Reference-Cited by-同舟云学术

Consformer: Consciousness Detection Using Transformer Networks With Correntropy-Based Measures

Published:2023 Issue: Volume:31 Page:2933-2943
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Sun Xuyun¹^ORCID,Qi Yu²^ORCID,Ma Xiulin³,Xu Chuan⁴,Luo Benyan⁵^ORCID,Pan Gang⁶^ORCID

Affiliation:

1. College of Computer Science and Technology, Zhejiang University, Hangzhou, China

2. State Key Laboratory of Brain-Machine Intelligence and the MOE Frontier Science Center for Brain Science and Brain-Machine Integration, Zhejiang University, Hangzhou, China

3. School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China

4. Department of Neurology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China

5. Department of Neurology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China

6. State Key Laboratory of Brain-Machine Intelligence and the College of Computer Science and Technology, Zhejiang University, Hangzhou, China

Funder

Science Technology Innovation 2030 Major Projects

Natural Science Foundation of China

Key Research and Development Program of Zhejiang Province in China

Key Realm Research and Development Program of Guangzhou

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/10031624/10057051.pdf?arnumber=10057051

Reference48 articles.

1. Resting-state EEG study of comatose patients: A connectivity and frequency analysis to find differences between vegetative and minimally conscious states;lehembre;Funct Neurol,2012

2. Using Correntropy as a cost function in linear adaptive filters

3. Our rapidly changing understanding of acute and chronic disorders of consciousness: challenges for neurologists

4. Correntropy: Properties and Applications in Non-Gaussian Signal Processing

5. EEG ultradian rhythmicity differences in disorders of consciousness during wakefulness

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