Machine Learning Technique Reveals Intrinsic EEG Connectivity Characteristics of Patients With Mild Stroke During Cognitive Task Performing-Reference-Cited by-同舟云学术

Machine Learning Technique Reveals Intrinsic EEG Connectivity Characteristics of Patients With Mild Stroke During Cognitive Task Performing

Published:2024-02 Issue:1 Volume:16 Page:232-242
ISSN:2379-8920
Container-title:IEEE Transactions on Cognitive and Developmental Systems
language:
Short-container-title:IEEE Trans. Cogn. Dev. Syst.

Author:

Xu Mengru¹^ORCID,Feng Zhao¹,Wang Sujie¹,Gao Hui¹,Cai Jiaye²,Wu Biwen²,Cai Huaying²,Sun Yi²,Guan Cuntai³^ORCID,Sun Yu²^ORCID,Qi Xuchen²

Affiliation:

1. Department of Biomedical Engineering, Key Laboratory for Biomedical Engineering of Ministry of Education of China, Zhejiang University, Hangzhou, China

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

3. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore

Funder

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

National Key Research and Development Program of China

Key Research and Development Program of Zhejiang Province

Science and Technology Special Project of the Institute of Wenzhou, Zhejiang University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Software

Link

http://xplorestaging.ieee.org/ielx7/7274989/10419120/10077712.pdf?arnumber=10077712

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