The SSHVEP Paradigm-Based Brain Controlled Method for Grasping Robot Using MVMD Combined CNN Model-Reference-Cited by-同舟云学术

The SSHVEP Paradigm-Based Brain Controlled Method for Grasping Robot Using MVMD Combined CNN Model

Published:2024 Issue: Volume:32 Page:2564-2578
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Li Rui¹^ORCID,Bai Duanyang¹^ORCID,Li Zhijun¹^ORCID,Yang Shiqiang¹,Liu Weiping²,Zhang Yichi¹^ORCID,Zhou Jincao¹^ORCID,Luo Jing³^ORCID,Wang Wen¹^ORCID

Affiliation:

1. School of Mechanical and Instrumental Engineering, Xi’an University of Technology, Xi’an, China

2. Xi’an People’s Hospital, Xi’an, China

3. Shaanxi Key Laboratory for Network Computing and Security Technology, School of Computer Science and Engineering, Human-Machine Integration Intelligent Robot Shaanxi University Engineering Research Center, Xi’an University of Technology, Xi’an, Shaanxi, China

Funder

National Natural Science Foundation of China

Northwestern Polytechnical University Unmanned Aerial Vehicle (UAV) Key Laboratory Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7333/10398877/10589910.pdf?arnumber=10589910

Reference47 articles.

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5. Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application