Development of a brain-controlled robotic arm system for motor imagery based on MR visual guidance-Reference-Cited by-同舟云学术

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Development of a brain-controlled robotic arm system for motor imagery based on MR visual guidance

Published:2024-01-26 Issue: Volume:39 Page:159-164
ISSN:
Container-title:Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing
language:
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Author:

Sun Hanlin¹^ORCID,Yan Xurong¹^ORCID,Yang Jingjing¹^ORCID,Li Qi¹^ORCID

Affiliation:

1. The school of Computer Science and Technology, Changchun University of Science and Technology, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3665689.3665716

Reference13 articles.

1. Electroencephalogram based brain-computer interface: Applications, challenges, and opportunities;Yadav Hitesh;Multimedia Tools and Applications,2023

2. Research advances in non-invasive brain-computer interface control strategies;Cao Hongtao;Journal of Biomedical Engineering,2022

3. Research advancements of motor imagery for motor function recovery after stroke;Xu Minpeng;Journal of Biomedical Engineering,2020

4. Execution, assessment and improvement methods of motor imagery for brain-computer interface;Tian Guixin;Journal of Biomedical Engineering,2021

5. Tremmel, Christoph, Christian Herff, and Dean J. Krusienski. 2019. EEG movement artifact suppression in interactive virtual reality. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE,.

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